What Jobs are available for AI And Machine Learning Specialists in Chicago?

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

Technology – Data and Decision Science – AI Native Engineering

AI/Machine Learning Engineer, Senior Consultant

The opportunity

Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.

As a Senior AI Native Engineer, you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role will involve researching, building, and implementing scalable AI systems that learn and make predictions tailored to diverse business environments, whether in the cloud or on-premises. You will enhance data pipelines to ensure data integrity and optimize learning processes, all while collaborating with a talented team of data and analytics professionals.

Your key responsibilities

In this role, you will contribute significantly to the delivery of innovative AI solutions. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.

You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.

You will spend your time on key responsibilities that include:

• Researching and implementing scalable AI systems that meet business requirements.

• Enhancing data pipelines and storage for optimal data accuracy and cleanliness.

• Monitoring and optimizing learning processes to improve high-performance models.

• This position may have travel requirements as needed to engage with external clients regularly.

Skills and attributes for success

To excel in this role, you will need a blend of technical expertise and interpersonal skills. Your ability to navigate complex challenges and deliver impactful solutions will be essential.

This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.

• Strong analytical and decision-making skills to guide project direction.

• Proven experience in project management and tracking deliverable completion.

• Ability to build and maintain relationships with clients and team members.

• Excellent communication skills to convey complex ideas effectively.

To qualify for the role, you must have

• A Bachelor’s degree required (4-year degree).

• 3-6 years of full-time working experience in AI and/or Machine Learning

• Strong skills in Python.

• Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).

• Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries.

• Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.

• A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.

• Experience with MLOps methods and platforms such as MLFlow.

• Experience with CI/CD and test-driven development.

• Experience designing, building, and maintaining ML models, frameworks, and pipelines.

• Experience designing and deploying end to end ML workflows on at least one major cloud computing platform.

• Understanding of data structures, data modelling and software engineering best practices.

• Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.

• Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions.

• Experience with containerization and scaling models.

• Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications.

• Proficiency in deep learning techniques.

• Strong foundation in mathematics, statistics, and operations research.

• Experience with machine learning algorithms and data architecture design.

• Familiarity with cloud computing and technical design optimization.

• Knowledge of natural language processing and image processing techniques.

• Understanding of continuous integration and deployment methodologies.

• Experience in scaling models for various applications.

• Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.

• Willingness to travel to meet client obligations.

Ideally, you’ll also have

• Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field.

• Experience in hybrid collaboration and emotional agility.

• A track record of working with diverse teams to drive outcomes through complex problem-solving.

• Knowledge of sustainability practices in technology.

• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.

• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.

• Experience fine-tuning Generative AI models.

What we look for

We seek individuals who are not only technically proficient but also possess the qualities of a top performer. You should be innovative, adaptable, and purpose driven by a desire to make a significant impact in the field of artificial intelligence. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.

#FY26NATAID

#FY26NATAID

What we offer you

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .

• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $105,800 to $74,800. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is 127,100 to 198,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

• Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.

• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on-going basis.

For those living in California, please click here for additional information.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at .

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

Technology – Data and Decision Science – AI Native Engineering

AI/Machine Learning Engineer, Manager Consultant

The opportunity

Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.

In this role, you will research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on-premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor and evaluate learning processes to continuously improve high-performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions.

As a Manager in AI Native Engineering, you will play a pivotal role in delivering innovative solutions that drive business success. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.

You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.

Your responsibilities will include:

• Leading workstream delivery and ensuring the effective management of processes and projects.

• Continuously improving processes by identifying innovative solutions through research and analysis.

• Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results.

• Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure.

• Identifying opportunities for additional services and managing engagement economics.

Skills and attributes for success

To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services

The following attributes will make a significant impact:

• Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.

• Strong judgment in selecting methods and techniques for obtaining results.

• Experience in managing client relationships and delivering high-quality service.

• Ability to lead teams effectively and manage change within the organization.

To qualify for the role, you must have

• A Bachelor’s degree required (4-year degree).

• 6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning

• 2-4 years of experience directly managing technical teams

• Strong skills in Python.

• Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).

• Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries.

• Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.

• A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.

• Experience with MLOps methods and platforms such as MLFlow.

• Experience with CI/CD and test-driven development.

• Experience designing, building, and maintaining ML models, frameworks, and pipelines.

• Experience designing and deploying end to end ML workflows on at least one major cloud computing platform.

• Understanding of data structures, data modelling and software engineering best practices.

• Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.

• Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions.

• Experience with containerization and scaling models.

• Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications.

• Deep Learning expertise.

• Proficiency in Mathematics, Statistics, and Operations Research.

• Experience with Machine Learning techniques.

• Knowledge of Data Architecture Design and Modelling.

• Familiarity with Cloud Computing environments.

• Skills in Technical Design Optimization.

• Experience with Continuous Integration and Continuous Delivery/Deployment.

• Understanding of Natural Language Processing and Generation.

• Knowledge in Image Processing and Analysis.

• Skills in Speech and Audio Processing and Analysis.

• Ability to scale models effectively.

• Strong relationship-building skills.

• Demonstrated client trust and value.

• Effective communication skills with impact.

• Digital fluency and emotional agility.

• Experience in hybrid collaboration.

• Commercial acumen and negotiation skills.

• Proven ability to lead teams and manage change.

• Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.

• Willingness to travel to meet client obligations.

Ideally, you’ll also have

• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.

• Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field.

• Experience working with diverse teams to deliver complex solutions.

• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.

• Experience fine-tuning Generative AI models.

• Experience in managing complex projects with multiple stakeholders.

• A strong understanding of industry trends and emerging technologies.

• Skills in data visualization and storytelling with data.

We seek individuals who are not only technically proficient but also possess the ability to think critically and creatively. Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in the field of AI and data science. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.

What we offer you

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .

• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $124,300 to $27,900. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is 149,200 to 259,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

• Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.

• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on-going basis.

For those living in California, please click here for additional information.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

Technology – Data and Decision Science – AI Native Engineering

AI/Machine Learning Engineer, Senior Consultant

The opportunity

Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.

As a Senior AI Native Engineer, you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role will involve researching, building, and implementing scalable AI systems that learn and make predictions tailored to diverse business environments, whether in the cloud or on-premises. You will enhance data pipelines to ensure data integrity and optimize learning processes, all while collaborating with a talented team of data and analytics professionals.

Your key responsibilities

In this role, you will contribute significantly to the delivery of innovative AI solutions. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.

You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.

You will spend your time on key responsibilities that include:

• Researching and implementing scalable AI systems that meet business requirements.

• Enhancing data pipelines and storage for optimal data accuracy and cleanliness.

• Monitoring and optimizing learning processes to improve high-performance models.

• This position may have travel requirements as needed to engage with external clients regularly.

Skills and attributes for success

To excel in this role, you will need a blend of technical expertise and interpersonal skills. Your ability to navigate complex challenges and deliver impactful solutions will be essential.

This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.

• Strong analytical and decision-making skills to guide project direction.

• Proven experience in project management and tracking deliverable completion.

• Ability to build and maintain relationships with clients and team members.

• Excellent communication skills to convey complex ideas effectively.

To qualify for the role, you must have

• A Bachelor’s degree required (4-year degree).

• 3-6 years of full-time working experience in AI and/or Machine Learning

• Strong skills in Python.

• Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).

• Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries.

• Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.

• A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.

• Experience with MLOps methods and platforms such as MLFlow.

• Experience with CI/CD and test-driven development.

• Experience designing, building, and maintaining ML models, frameworks, and pipelines.

• Experience designing and deploying end to end ML workflows on at least one major cloud computing platform.

• Understanding of data structures, data modelling and software engineering best practices.

• Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.

• Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions.

• Experience with containerization and scaling models.

• Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications.

• Proficiency in deep learning techniques.

• Strong foundation in mathematics, statistics, and operations research.

• Experience with machine learning algorithms and data architecture design.

• Familiarity with cloud computing and technical design optimization.

• Knowledge of natural language processing and image processing techniques.

• Understanding of continuous integration and deployment methodologies.

• Experience in scaling models for various applications.

• Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.

• Willingness to travel to meet client obligations.

Ideally, you’ll also have

• Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field.

• Experience in hybrid collaboration and emotional agility.

• A track record of working with diverse teams to drive outcomes through complex problem-solving.

• Knowledge of sustainability practices in technology.

• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.

• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.

• Experience fine-tuning Generative AI models.

What we look for

We seek individuals who are not only technically proficient but also possess the qualities of a top performer. You should be innovative, adaptable, and purpose driven by a desire to make a significant impact in the field of artificial intelligence. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.

#FY26NATAID

#FY26NATAID

What we offer you

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .

• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $105,800 to $74,800. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is 127,100 to 198,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

• Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.

• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on-going basis.

For those living in California, please click here for additional information.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at .

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

Technology – Data and Decision Science – AI Native Engineering

AI/Machine Learning Engineer, Manager Consultant

The opportunity

Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.

In this role, you will research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on-premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor and evaluate learning processes to continuously improve high-performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions.

As a Manager in AI Native Engineering, you will play a pivotal role in delivering innovative solutions that drive business success. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.

You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.

Your responsibilities will include:

• Leading workstream delivery and ensuring the effective management of processes and projects.

• Continuously improving processes by identifying innovative solutions through research and analysis.

• Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results.

• Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure.

• Identifying opportunities for additional services and managing engagement economics.

Skills and attributes for success

To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services

The following attributes will make a significant impact:

• Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.

• Strong judgment in selecting methods and techniques for obtaining results.

• Experience in managing client relationships and delivering high-quality service.

• Ability to lead teams effectively and manage change within the organization.

To qualify for the role, you must have

• A Bachelor’s degree required (4-year degree).

• 6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning

• 2-4 years of experience directly managing technical teams

• Strong skills in Python.

• Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).

• Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries.

• Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.

• A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.

• Experience with MLOps methods and platforms such as MLFlow.

• Experience with CI/CD and test-driven development.

• Experience designing, building, and maintaining ML models, frameworks, and pipelines.

• Experience designing and deploying end to end ML workflows on at least one major cloud computing platform.

• Understanding of data structures, data modelling and software engineering best practices.

• Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.

• Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions.

• Experience with containerization and scaling models.

• Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications.

• Deep Learning expertise.

• Proficiency in Mathematics, Statistics, and Operations Research.

• Experience with Machine Learning techniques.

• Knowledge of Data Architecture Design and Modelling.

• Familiarity with Cloud Computing environments.

• Skills in Technical Design Optimization.

• Experience with Continuous Integration and Continuous Delivery/Deployment.

• Understanding of Natural Language Processing and Generation.

• Knowledge in Image Processing and Analysis.

• Skills in Speech and Audio Processing and Analysis.

• Ability to scale models effectively.

• Strong relationship-building skills.

• Demonstrated client trust and value.

• Effective communication skills with impact.

• Digital fluency and emotional agility.

• Experience in hybrid collaboration.

• Commercial acumen and negotiation skills.

• Proven ability to lead teams and manage change.

• Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.

• Willingness to travel to meet client obligations.

Ideally, you’ll also have

• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.

• Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field.

• Experience working with diverse teams to deliver complex solutions.

• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.

• Experience fine-tuning Generative AI models.

• Experience in managing complex projects with multiple stakeholders.

• A strong understanding of industry trends and emerging technologies.

• Skills in data visualization and storytelling with data.

We seek individuals who are not only technically proficient but also possess the ability to think critically and creatively. Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in the field of AI and data science. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.

What we offer you

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .

• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $124,300 to $27,900. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is 149,200 to 259,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

• Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.

• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on-going basis.

For those living in California, please click here for additional information.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at

Overview

Anticipated End Date:

Position Title: AI Senior Machine Learning Scientist

Job Description:

AI Senior Machine Learning Scientist

Location: Atlanta, GA; Richmond, VA; Indianapolis, IN; Mason, OH; Chicago, IL (preferred).

This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office.

Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.

Note: This position is not eligible for current or future visa sponsorship.

The AI Senior Machine Learning Scientist is responsible for most complex Artificial Intelligence (AI) machine learning projects that gather and integrate large volumes of data, perform analysis, interpret results, and develop actionable insights and recommendations for use across the company.

Join to apply for the Artificial Intelligence/Machine Learning (AI/ML) Engineer role at The University of Chicago Booth School of Business

Join to apply for the Artificial Intelligence/Machine Learning (AI/ML) Engineer role at The University of Chicago Booth School of Business

Get AI-powered advice on this job and more exclusive features.

About The Department

Department

Booth IT: Application Development

About The Department

The University of Chicago Booth School of Business is the second-oldest business school in the U.S. and second to none when it comes to influencing business education and business practices. Since 1898, the school has produced ideas and leaders that shape the world of business. Their rigorous, discipline-based approach to business education transforms students into confident, effective, respected business leaders prepared to face the toughest challenges.

Chicago Booth has the finest set of facilities of any business school in the world. Each of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment.

Chicago Booth Is Proud To Claim:

• an unmatched faculty.
• degree and open enrollment programs offered on three continents.
• a global body of nearly 56,000 accomplished alumni.
• strong and growing corporate relationships that provide a wealth of lifelong career opportunities.
  
  

• Designs, develops, and maintains efficient, scalable, and secure AI/ML applications and APIs to advance academic, research, and business innovation priorities.
• Collaborates with IT infrastructure and development teams to assess AI system requirements, inform hardware/software purchases, and optimize resource allocation both on-premise and in the cloud.
• Defines system requirements and architectural specifications, and integrates advanced AI/ML solutions with Booth’s platforms and enterprise systems to ensure security, reliability, and compliance.
• Provides expert technical support, including debugging, documentation, code review, model evaluation, and pipeline optimization, to faculty, staff, researchers, and students.
• Executes the training, benchmarking, and deployment of Large Language Models (LLMs) using frameworks such as Hugging Face, PyTorch, or TensorFlow, and applies advanced optimization techniques, such as quantization, pruning, KV cache tuning.
• Leads and conducts technical workshops or training sessions for faculty, PhD students, and staff, and develops high-quality documentation and user guides to support AI/ML uptake across Booth.
• Optimizes the performance and scalability of AI/ML workloads through algorithmic and system-level improvements, including evaluation and tuning of CPU vs. GPU usage for cost-effectiveness.
• Monitors and assesses the health and performance of internal and cloud compute platforms, such as Mercury, AWS, and GCP, conducts system diagnostics, and supports continuous platform improvement.
• Builds and maintains strong collaborations with Booth departments, UChicago AI research groups, and external partners, sharing best practices and aligning AI initiatives.
• Translates academic AI research into robust, production-ready solutions that drive Booth’s educational and research objectives, and contributes to technology evaluations, research proposals, and cross-functional teams where AI/ML expertise is required.
• Leads in the development of new systems, features, and tools. Solves complex problems and identifies opportunities for technical improvement and performance optimization. Reviews and tests code to ensure appropriate standards are met.
• Acts as a technical consultant and resource for faculty research, teaching, and/or administrative projects.
• Performs other related work as needed.
  
  

• PhD.
  
  

• Background or professional experience in business, economics, or finance, leveraging ML/AI for domain-specific applications and effective engagement with faculty or research groups.
• Familiarity with prompt engineering, in-context learning, and evaluation metrics specifically for LLMs.
• Understanding of LLM training/inference optimization at system level: KV cache optimization, Quantization.
• Strong portfolio or history of translating academic research and prototypes into robust, production-ready AI/ML solutions deployed in real-world settings.
• Direct experience deploying, evaluating, and optimizing AI/ML workloads on both cloud (AWS, GCP, Azure) and on-prem platforms, including cost-performance trade-off analysis.
  
  

• At least two years of experience developing applications in Python, R, Matlab, C# and .NET, preferably within enterprise or academic contexts.
• Hands-on experience training, fine-tuning, and deploying Large Language Models (LLMs) and advanced architectures, including leveraging frameworks such as Hugging Face Transformers.
• In-depth expertise with advanced model optimization and acceleration methods such as quantization, pruning, knowledge distillation, and cache tuning; demonstrable results with LLMs or large-scale neural networks.
• Demonstrable familiarity with AI/ML optimization tools, such as MosaicML, DeepSpeed, ONNX, and their integration into production pipelines.
  
  

• This position is currently expected to work a minimum three days per week in the office.
  
  

• Resume/CV (required)
• Cover Letter (required)
  
  

• Seniority level Mid-Senior level

• Employment type Other

• Job function Engineering and Information Technology
• Industries Higher Education

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Department

About the Department

Responsibilities

• Designs, develops, and maintains efficient, scalable, and secure AI/ML applications and APIs to advance academic, research, and business innovation priorities.
• Collaborates with IT infrastructure and development teams to assess AI system requirements, inform hardware/software purchases, and optimize resource allocation both on-premise and in the cloud.
• Defines system requirements and architectural specifications, and integrates advanced AI/ML solutions with Booth’s platforms and enterprise systems to ensure security, reliability, and compliance.
• Provides expert technical support, including debugging, documentation, code review, model evaluation, and pipeline optimization, to faculty, staff, researchers, and students.
• Executes the training, benchmarking, and deployment of Large Language Models (LLMs) using frameworks such as Hugging Face, PyTorch, or TensorFlow, and applies advanced optimization techniques, such as quantization, pruning, KV cache tuning.
• Leads and conducts technical workshops or training sessions for faculty, PhD students, and staff, and develops high-quality documentation and user guides to support AI/ML uptake across Booth.
• Optimizes the performance and scalability of AI/ML workloads through algorithmic and system-level improvements, including evaluation and tuning of CPU vs. GPU usage for cost-effectiveness.
• Monitors and assesses the health and performance of internal and cloud compute platforms, such as Mercury, AWS, and GCP, conducts system diagnostics, and supports continuous platform improvement.
• Builds and maintains strong collaborations with Booth departments, UChicago AI research groups, and external partners, sharing best practices and aligning AI initiatives.
• Translates academic AI research into robust, production-ready solutions that drive Booth’s educational and research objectives, and contributes to technology evaluations, research proposals, and cross-functional teams where AI/ML expertise is required.
• Leads in the development of new systems, features, and tools. Solves complex problems and identifies opportunities for technical improvement and performance optimization. Reviews and tests code to ensure appropriate standards are met.
• Acts as a technical consultant and resource for faculty research, teaching, and/or administrative projects.
• Performs other related work as needed.

Minimum Qualifications

Education:

Work Experience:

Certifications:

---

Preferred Qualifications

Education:

• PhD.

Experience:

• Background or professional experience in business, economics, or finance, leveraging ML/AI for domain-specific applications and effective engagement with faculty or research groups.
• Familiarity with prompt engineering, in-context learning, and evaluation metrics specifically for LLMs.
• Understanding of LLM training/inference optimization at system level: KV cache optimization, Quantization.
• Strong portfolio or history of translating academic research and prototypes into robust, production-ready AI/ML solutions deployed in real-world settings.
• Direct experience deploying, evaluating, and optimizing AI/ML workloads on both cloud (AWS, GCP, Azure) and on-prem platforms, including cost-performance trade-off analysis.

Technical Skills or Knowledge:

• At least two years of experience developing applications in Python, R, Matlab, C# and .NET, preferably within enterprise or academic contexts.
• Hands-on experience training, fine-tuning, and deploying Large Language Models (LLMs) and advanced architectures, including leveraging frameworks such as Hugging Face Transformers.
• In-depth expertise with advanced model optimization and acceleration methods such as quantization, pruning, knowledge distillation, and cache tuning; demonstrable results with LLMs or large-scale neural networks.
• Demonstrable familiarity with AI/ML optimization tools, such as MosaicML, DeepSpeed, ONNX, and their integration into production pipelines.

Working Conditions

• This position is currently expected to work a minimum three days per week in the office.

Application Documents

• Resume/CV (required)
• Cover Letter (required)

When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.

Job Family

Role Impact

Scheduled Weekly Hours

Drug Test Required

Health Screen Required

Motor Vehicle Record Inquiry Required

Pay Rate Type

FLSA Status

Pay Range

The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.

Benefits Eligible

The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook .

Posting Statement

The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Job seekers in need of a reasonable accommodation to complete the application process should call or submit a request via Applicant Inquiry Form.

All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: .Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

Machine Learning Engineer / Voice-centric AI

We’re looking for an entrepreneurial Senior Machine Learning Engineer with experience taking voice-centric AI systems (TTS, STT, LLM-driven dialog) from prototype to large-scale production. You’ll own the full ML lifecycle—research, data pipelines, training, evaluation, deployment, and ongoing optimization—powering sub-second, natural voice conversations at scale.

This role is ideal for someone passionate about pushing the limits of conversational AI : creating highly optimized, domain-specific models that are faster, leaner, and more cost-efficient than general-purpose solutions. You’ll collaborate closely with product, infrastructure, and compliance teams, while setting the technical bar for model excellence and ML best practices.

Required Skills & Experience

• Experience: 7+ years building production ML systems, including 2+ years in speech or conversational AI. Proven track record deploying large-scale voice AI or LLM products.
• Fine-tuning & compression (LoRA, QLoRA, quantization, pruning, distillation).
• Speech (ASR: Whisper, NeMo, Kaldi; TTS: Tacotron, FastSpeech, VITS).
• LLMs & dialogue (GPT-class, RAG, LangGraph, LangChain, MCP).
• Strong in Python; bonus for TypeScript/Node/Java.
• Infra & Ops (Kubernetes, Helm, Terraform, MLflow/SageMaker).
• Data systems (Kafka, Redis, Postgres, Snowflake).
• Streaming protocols (gRPC, WebSockets, HTTP/2, WebRTC).
• Security & compliance (HIPAA, SOC2, HITRUST).
• Product-oriented, entrepreneurial, strong problem solver, effective communicator, and technical leader.

Desired Skills & Experience

• Optimize & Fine-Tune Models: Apply LoRA, QLoRA, RLHF, and other parameter-efficient techniques. Use quantization, pruning, and distillation to shrink models while preserving quality.
• Build End-to-End Pipelines: Design STT, TTS, and LLM systems achieving <800 ms latency and thousands of concurrent sessions.
• Scale Inference: Optimize serving on Kubernetes/EKS with dynamic batching, speculative decoding, and streaming protocols.
• Advance Dialogue Management: Extend LangGraph/LangChain flows and MCP schemas for complex multi-turn conversations.
• Data & Evaluation: Develop pipelines for conversational logs (Kafka ? Snowflake/S3) and create frameworks to measure ASR accuracy, TTS quality, and task completion.
• Lead & Mentor: Define ML best practices, champion model CICD and monitoring, and mentor teammates on ML Ops, speech processing, and prompt engineering.
• Innovate & Research: Run POCs with cutting-edge models (e.g., Whisper-v3, Bark) and stay ahead of the latest in speech + LLM research.
• Ensure Reliability & Compliance: Implement HIPAA-grade security, PHI safeguards, and robust fallback strategies.

The Offer

• Bonus eligible

You Will Receive The Following Benefits

• Medical, Dental, and Vision Insurance
• Vacation Time
• Stock Options

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Overview

Data Science role at Peraton. Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. The GCC provides CSSP responsibilities and conducts DODIN Operations and DCO - Internal Defensive Measures (IDM) to protect the DODIN IAW the DoDM and the DoD Cybersecurity Services Evaluator Scoring Metrics (ESM). These responsibilities are broken into five CSSP functions; Identify, Protect, Detect, Respond, and Recover. The division provides support services for the protection, monitoring, analysis, detection, and response to unauthorized activity within the DoD Information Systems and Networks. DCO-IDM services defend against unauthorized activity on Army assets residing on the NIPRNet and SIPRNet. The division provides defensive measures to protect and defend information, computers, and networks from disruption, denial, degradation, or destruction. The division provides sensor management and event analysis and response for network and host-based events. Event analysis and response includes reducing multiple cyber incidents to actual malicious threat determinations and mitigating those threats IAW guidance from GCC Government leadership.

• Develop reports and products, both current and long-term, in support of CSSP and course of action development.
• Prepare Tactics, Techniques, and Procedures (TTP), SOPs, Executive Summary (EXSUMS), trip reports, and information/point papers.
• Contribute to the preparation of agreements, policy, and guidance documentation such as Memorandums of Understanding / Agreement (MOU/A), Service Level Agreements (SLA).
• Defensive Cyber Infrastructure (DCI) Support. Develop and distribute content provided by security platform vendors at least weekly and as needed.
• Develop and distribute in-house content based on tips from higher organizations and the Threat Hunt team.
• Provide content development and distribution to tactical edge customers and develop TTPs for doing so.
• Consolidate different data sources into a single view used to assess the status of a specific threat on the network.
• Develop and/or maintain dashboards displaying CSSP items of interest and all active cyber incidents in near real time within each respective Area of Responsibility (AOR).
• Maintain, update, test, and implement signatures and policies for each sensor managed by GCC.
• Coordinate changes through the ITIL process and develop signatures and policies for both network- and host-based sensors.
• Update as necessary to minimize false positives and validate syntax.
• Conduct development and testing on isolated networks and document testing activity with plans, results, and procedures as signatures are updated.
• Update and validate the plan at least annually with a signature test plan.

Basic Qualifications:

• 8 years with BS/BA; 6 years with MS/MA; 3 years with PhD
• Certifications: DCWF Code 521 Advanced or CISSP or GIAC certifications such as GCIA, GCLD, GDSA, GICSP, GSEC, ISSAP, ISSEP, etc.
• Active TS/SCI Clearance
• Ability to conduct vulnerability assessments and monitor networks to support test and operational environment requirements.
• Solid understanding of data transport, encryption, networking, IT systems, and cybersecurity fundamentals.

Target Salary Range: $66,000 - $106,000. Salary is determined by the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and contract considerations. Depending on the position, overtime, shift differential, and a discretionary bonus may be available in addition to base pay.

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

• Full-time