5,408 AI Model Development jobs in the United States

Principal Machine Learning Engineer - Model Training and Customization
**Job Summary**
Come be a part of Red Hat's charge to democratize AI with open source! Red Hat's Global Engineering Team is looking for a Principal Machine Learning Engineer to join our newly formed AI Engineering organization. This role will be located within the AI Innovation team, which conducts customer- and science-driven research to drive innovation for Red Hat's customers. The team focuses on a pattern of "research → open-source software → product" as the way we operate our engineering work. This role will be focused on architecting and building the core logic and enhancements for our model fine-tuning and post-training libraries.
In this role, you will work directly with research scientists and open source AI communities to design, build, and improve implementations of novel training methods, ranging from SFT, continual learning, and offline preference tuning to online reinforcement learning methods like GRPO and RLHF. You will develop working relationships across multiple teams, driving contributions to both upstream open source projects and our internal Training Hub, while providing technical leadership on architecture decisions and implementation strategies.
The ideal candidate will be a highly collaborative individual with a passion for working on complex ML projects in an open organization where contributions are valued and expected from all levels. As this is a fast-moving area of opportunity for Red Hat, the ability to communicate productively and effectively with team members and stakeholders is critical. Success in this role would be delivering robust, scalable training libraries that bridge cutting-edge research with production needs while establishing technical standards and best practices.
This position reports directly to the Manager of AI Innovation. This position may require occasional travel to partner collaboratively in our Boston, MA office multiple times per quarter. Successful applicants must reside in a state where Red Hat is registered to do business.
**What you will do**
Architect and develop core libraries for various model post-training methods and innovations.
Lead technical design decisions for training infrastructure and algorithm implementations.
Work directly on upstream, open source projects and engage with community needs and contributions.
Drive core post-training algorithm research and engineering, introducing new methods both to community efforts and our own Training Hub.
Understand and adapt novel architectures and techniques to work with various post-training algorithms, across distributed training frameworks.
Optimize, enhance, and improve robustness and usability of both existing and in-flight projects, working closely with researchers to validate prototype logic.
Maintain and expand library feature pool, and address core algorithm bugs and blockers.
Collaborate with software engineers on interface and testing designs, establishing architectural patterns and standards.
Lead code reviews and establish best practices within the engineering team.
Document system designs, processes, and model performance for transparency and future reference.
Report on project status, challenges, and results to stakeholders.
Serve as a technical lead for training and customization components, providing guidance to build knowledge and capabilities within the team.
**What you will bring**
Bachelor's degree in computer science or equivalent.
Advanced experience in Python development.
Deep background in AI/ML projects (neural networks, deep learning, language models, reinforcement learning).
Proven experience in research engineering, machine learning engineering, or applied ML roles.
Expert-level experience with common model architecture development and adapter frameworks (e.g. PyTorch, Transformers, PEFT, etc.).
Strong experience with distributed training frameworks (e.g. FSDP, DeepSpeed) and inference runtimes (e.g. vLLM).
Demonstrated experience in open-source projects and collaborative development workflows.
Strong background in software development or engineering, building robust and consumable libraries and implementations.
Experience with unit testing, integration testing, and performance testing.
Experience designing and implementing complex ML systems at scale.
Strong self-motivation and organizational skills.
Ability to handle multiple concurrent projects effectively.
Strong technical leadership and collaboration skills.
Excellent written and verbal communication skills.
Positive attitude and willingness to share ideas openly.
**Considered a plus**
Masters or PhD in Machine Learning (ML) / Natural Language Processing (NLP).
Experience with MLOps and deployment systems (e.g., Kubeflow, MLflow, Kubernetes, CI/CD pipelines).
Experience writing functional, end-to-end or coverage tests in Python.
Experience with GitHub Actions, GitHub automation, or CI/CD practices.
Experience reading/writing, publishing, and/or implementing research papers.
Experience with Red Hat products.
Deep experience with large language models and their training methodologies.
Contributions to major open-source ML frameworks or libraries.
Experience leading technical initiatives in ML infrastructure.
#LI-JC2 #AI-Hiring
The salary range for this position is $189,600.00 - $312,730.00. Actual offer will be based on your qualifications.
**Pay Transparency**
Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.
**About Red Hat**
Red Hat ( is the world's leading provider of enterprise open source ( software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
**Benefits**
● Comprehensive medical, dental, and vision coverage
● Flexible Spending Account - healthcare and dependent care
● Health Savings Account - high deductible medical plan
● Retirement 401(k) with employer match
● Paid time off and holidays
● Paid parental leave plans for all new parents
● Leave benefits including disability, paid family medical leave, and paid military leave
● Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
**Note:** These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.
**Inclusion at Red Hat**
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
**Equal Opportunity Policy (EEO)**
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
**Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.**
**Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email** ** ** **.** **General inquiries, such as those regarding the status of a job application, will not receive a reply.**

**Why Mayo Clinic**
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans ( - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
**Benefits Highlights**
+ Medical: Multiple plan options.
+ Dental: Delta Dental or reimbursement account for flexible coverage.
+ Vision: Affordable plan with national network.
+ Pre-Tax Savings: HSA and FSAs for eligible expenses.
+ Retirement: Competitive retirement package to secure your future.
**Responsibilities**
A postdoctoral research fellow position is available at the Cancer Data Science Lab (PI: Dr. Irbaz Riaz - Dr. Irbaz B. Riaz, Bio ( ) at Mayo Clinic in Arizona. The research fellow will work in a multi-disciplinary team of clinicians, data scientists and informaticians.
Dr. Riaz is an Assistant professor in medicine and biomedical informatics. His lab is focused on developing artificial intelligence (AI) methods for electronic medical records data. The current projects heavily emphasize natural language processing (NLP), large language models (LLMs), multi-modal data integration, and computation oncology.
This position (candidate) may engage in following projects:
+ Training and implementation of large language models that demonstrate good performance with healthcare data.
+ Utilize artificial intelligence techniques, including natural language processing such as large language models, computer vision and other deep learning methods, to build task-specific models for diverse applications in healthcare.
+ Develop artificial intelligence frameworks for data extraction from free-text unstructured text reports and imaging/histopathological imaging data.
+ Develop and/or improve predictive models using uni-modal and multimodal electronic health records system data (free text, imaging, genomics)
+ Develop/enhance software for living clinical practice guidelines.
+ Work with a multi-disciplinary team of physicians, computer scientists, and biomedical statisticians to improve artificial intelligence-based approaches for solving complex data science problems in cancer.
+ Harbor excellent verbal- and written- communication and presentation skills.
A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education in research. Individuals will train in the research program of a Mayo Clinic principal investigator. Qualified individuals will demonstrate the potential for research as evidenced by their training and peer-reviewed publications and should become competitive for national research grants. Proof of English proficiency is required for J-1 Short-Term Scholars, Research Scholars, Professors, Specialists, and Student Interns sponsored by Mayo Clinic.
**Qualifications**
**Basic Qualifications (Must Have)**
+ Ph.D. in Computer Science, Computer Engineering, Biomedical Informatics, Data Science, Biostatistics, or a closely related field determined by the program. Candidates must have completed their Ph.D. at the time of hire.
+ Strong foundation in machine learning and artificial intelligence.
+ Excellent Python programming skills; experience with common data analysis libraries (e.g., pandas, NumPy, scikit-learn) and at least one deep learning framework (e.g., PyTorch, TensorFlow, JAX, HuggingFace).
+ Familiarity with SQL databases and basic querying skills.
+ Familiarity with natural language processing techniques and/or large language models.
+ Experience working with structured or unstructured data, including text data.
+ Evidence of research potential, such as peer-reviewed publications or conference presentations.
+ Good written and verbal communication skills in English.
**Preferred Qualifications (Nice to Have)**
+ Experience with multi-modal data (text, imaging, genomics).
+ Familiarity with computer vision methods for medical imaging.
+ Exposure to modern AI technologies, including fine-tuning or retrieval-augmented models (RAG).
+ Familiarity with evaluating large language models.
+ Experience with version control (e.g., Git) or basic software development practices.
+ Interest in clinical or healthcare-related research applications.
+ Experience collaborating in multi-disciplinary research teams.
**Exemption Status**
Exempt
**Compensation Detail**
$64,079 - $74,963 / year; Education, experience and tenure may be considered along with internal equity when job offers are extended.
**Benefits Eligible**
Yes
**Schedule**
Full Time
**Hours/Pay Period**
80
**International Assignment**
No
**Site Description**
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. ( Opportunity**
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law" ( . Mayo Clinic participates in E-Verify ( and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.
**Recruiter**
Lei Feng
**Equal opportunity**
As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available.

Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.
Job Description
In this compelling leadership position, you will plan and direct business unit operations and the work of a team who produce insights, new product or change recommendations, process improvement or automation, and predictive modeling to drive the success of strategy implementation. You will ensure team members are knowledgeable in data mining and data analysis methods, adept with large data processing techniques and computational programing capabilities, have practical problem-solving skills, and possess the ability to articulate solutions to non-technical consumers or partners. As the director, you will develop partnerships across the data engineering and data management teams, and external or created data sources to apply data mining techniques in preparation for analysis or use of enterprise data assets.
*THE IMPACT YOU WILL MAKE*
The *Director of Data Science & Artificial Intelligence (AI)*role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
* Lead a team of data scientist and AI developers, inspire innovation and development of advanced AI solutions from inception to production.
* Drive advancements in AI, while shaping the future of AI in mortgage industry and supporting the company's mission.
* Ensure collaboration with product and/or business owners, data engineers, and platform teams to align team objectives and group strategy.
* Oversee the application of AI and data science techniques from disciplines, such as computer science, computational science and methods, statistics, econometrics, data optimization, and data visualization. Ensure statistical modeling capabilities meet the group's strategic needs.
* Direct and execute the deployment of AI capabilities, Generative AI solutions, recommender systems, predictive analytic capabilities to enhance the delivery of business applications and support the integration of data and statistical models or algorithms.
* Apply innovative practices in data science and AI research and testing to product development, deployment, and maintenance.
* Direct the design of modeling applications to resolve complex or unusual business problems.
* Ensure the team communicates complex ideas and solutions effectively to division leadership through data visualizations, technical documentation, and non-technical presentation materials.
*THE EXPERIENCE YOU BRING TO THE TEAM*
*Minimum Required Experiences*
* 8 years of relevant experience in AI, data science, or related fields, with a proven track delivering solutions to production
* Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals.
* Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action.
* A spirit of scientific discovery, driven by a passion for innovation to deliver results, balanced with a deep understanding of risks and ethical considerations.
* Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development.
* In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services.
* Bachelor's degree in computer science, Math, Statistics, engineering, physics or related field or equivalent experience
*Desired Experiences*
* Master degree or PhD in computer science, Math, Statistics, engineering, physics or related field is preferred
* Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the Financial or professional services sectors.
* Profound understanding of AI and advanced analytics technologies, coupled with the ability to evaluate their feasibility.
* Ideally, 10+ years of experience in Machine Learning, delivering complex prototyping solutions to production.
* Extensive proven, hands-on experience in data science. Expert-level experience with Natural Language Processing (NLP), Natural Language Understanding (NLU) and Natural Language Generation (NLG).
* Extensive experience with advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, time-series analysis, statistical process control, are preferred
* Practical applications of machine learning techniques such as Clustering, Logistic Regression, CART, Random Forests, SVM or Neural Networks.
* Expert-level knowledge of deep learning frameworks such as TensorFlow, PyTorch, and other open sources libraries / APIs or similar. Strong technical and problem-solving skills and evidence of continuous learning in the analytics field
* Breadth and depth of knowledge in the application of statistical and/or digital methods to solve business problems
* Proficiency with Python and basic libraries for machine learning. Ability to visualize & synthesize results. Full stack experience building GenAI solutions; Large language models, language transformers (BERT, RoBERTa) data prep & vectorization, embedding/chunking, prompting, search/summary/RAG/finetuning.
* Experience with deep learning (e.g., CNN, RNN, LSTM) methods.
* Experience building NLP and NLG tools and a wide range of LLMs (Llama, Claude, OpenAI, etc.), LoRA, LangChain, RAG, LLM Fine Tuning and PEFT are preferred.
* Demonstrated skills with Jupyter Notebook, AWS Sagemaker, or Domino Datalab or comparable environments
* Passion for solving complex data problems and generating cross-functional solutions in a fast-paced environment
*Tools*
* Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets.
* Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment.
* Expertise in popular machine learning algorithms and libraries such as TensorFlow, PyTorch, and Keras.
* Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data.
* Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development.
* In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services.
* Experience with database management and querying tools, including traditional SQL databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Elastic Search).
* Familiarity with Amazon Bedrock, AmazonQ, or Google Vertex or Microsoft AI services is prefered
* Familiarity with DevOps practices and tools (e.g., Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions.
* Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production.
* Knowledge of security protocols and compliance standards relevant to data privacy and AI
*Target Pay Range: * $196,000.00 - $264,000.00 a year
*Internal Job Title: *Enterprise Modeling and Analytics - Data Science - Director
*#LI-JM1 *
Qualifications
Education:
Bachelor's Level Degree (Required), Master's Level Degree
The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.
For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.
Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form .
The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here .
Requisition compensation:

to

Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation in the application process, email us at

Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.
Job Description
In this compelling leadership position, you will plan and direct business unit operations and the work of a team who produce insights, new product or change recommendations, process improvement or automation, and predictive modeling to drive the success of strategy implementation. You will ensure team members are knowledgeable in data mining and data analysis methods, adept with large data processing techniques and computational programing capabilities, have practical problem-solving skills, and possess the ability to articulate solutions to non-technical consumers or partners. As the director, you will develop partnerships across the data engineering and data management teams, and external or created data sources to apply data mining techniques in preparation for analysis or use of enterprise data assets.
*THE IMPACT YOU WILL MAKE*
The *Director of Data Science & Artificial Intelligence (AI)*role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
* Lead a team of data scientist and AI developers, inspire innovation and development of advanced AI solutions from inception to production.
* Drive advancements in AI, while shaping the future of AI in mortgage industry and supporting the company's mission.
* Ensure collaboration with product and/or business owners, data engineers, and platform teams to align team objectives and group strategy.
* Oversee the application of AI and data science techniques from disciplines, such as computer science, computational science and methods, statistics, econometrics, data optimization, and data visualization. Ensure statistical modeling capabilities meet the group's strategic needs.
* Direct and execute the deployment of AI capabilities, Generative AI solutions, recommender systems, predictive analytic capabilities to enhance the delivery of business applications and support the integration of data and statistical models or algorithms.
* Apply innovative practices in data science and AI research and testing to product development, deployment, and maintenance.
* Direct the design of modeling applications to resolve complex or unusual business problems.
* Ensure the team communicates complex ideas and solutions effectively to division leadership through data visualizations, technical documentation, and non-technical presentation materials.
*THE EXPERIENCE YOU BRING TO THE TEAM*
*Minimum Required Experiences*
* 8 years of relevant experience in AI, data science, or related fields, with a proven track delivering solutions to production
* Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals.
* Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action.
* A spirit of scientific discovery, driven by a passion for innovation to deliver results, balanced with a deep understanding of risks and ethical considerations.
* Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development.
* In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services.
* Bachelor's degree in computer science, Math, Statistics, engineering, physics or related field or equivalent experience
*Desired Experiences*
* Master degree or PhD in computer science, Math, Statistics, engineering, physics or related field is preferred
* Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the Financial or professional services sectors.
* Profound understanding of AI and advanced analytics technologies, coupled with the ability to evaluate their feasibility.
* Ideally, 10+ years of experience in Machine Learning, delivering complex prototyping solutions to production.
* Extensive proven, hands-on experience in data science. Expert-level experience with Natural Language Processing (NLP), Natural Language Understanding (NLU) and Natural Language Generation (NLG).
* Extensive experience with advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, time-series analysis, statistical process control, are preferred
* Practical applications of machine learning techniques such as Clustering, Logistic Regression, CART, Random Forests, SVM or Neural Networks.
* Expert-level knowledge of deep learning frameworks such as TensorFlow, PyTorch, and other open sources libraries / APIs or similar. Strong technical and problem-solving skills and evidence of continuous learning in the analytics field
* Breadth and depth of knowledge in the application of statistical and/or digital methods to solve business problems
* Proficiency with Python and basic libraries for machine learning. Ability to visualize & synthesize results. Full stack experience building GenAI solutions; Large language models, language transformers (BERT, RoBERTa) data prep & vectorization, embedding/chunking, prompting, search/summary/RAG/finetuning.
* Experience with deep learning (e.g., CNN, RNN, LSTM) methods.
* Experience building NLP and NLG tools and a wide range of LLMs (Llama, Claude, OpenAI, etc.), LoRA, LangChain, RAG, LLM Fine Tuning and PEFT are preferred.
* Demonstrated skills with Jupyter Notebook, AWS Sagemaker, or Domino Datalab or comparable environments
* Passion for solving complex data problems and generating cross-functional solutions in a fast-paced environment
*Tools*
* Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets.
* Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment.
* Expertise in popular machine learning algorithms and libraries such as TensorFlow, PyTorch, and Keras.
* Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data.
* Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development.
* In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services.
* Experience with database management and querying tools, including traditional SQL databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Elastic Search).
* Familiarity with Amazon Bedrock, AmazonQ, or Google Vertex or Microsoft AI services is prefered
* Familiarity with DevOps practices and tools (e.g., Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions.
* Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production.
* Knowledge of security protocols and compliance standards relevant to data privacy and AI
*Target Pay Range: * $196,000.00 - $264,000.00 a year
*Internal Job Title: *Enterprise Modeling and Analytics - Data Science - Director
*#LI-JM1 *
Qualifications
Education:
Bachelor's Level Degree (Required), Master's Level Degree
The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.
For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.
Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form .
The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here .
Requisition compensation:

to

Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation in the application process, email us at

This is a remote position.

We seeks a dynamic and experienced Data Science Manager to drive data-driven innovation across our organization. Responsibilities The role offers the opportunity to lead strategic data science initiatives across multiple business domains, including Sales and Marketing, Credit Risk, Residual Value, Customer Management and Collections, Insurance As an ideal candidate, you'll combine hands-on technical expertise with strong leadership abilities to guide both project outcomes and team development Spearhead the development of sophisticated predictive and prescriptive models that drive business value Establish and maintain data science best practices, methodologies, and quality standards Design and implement scalable data pipelines for extracting, transforming, and analyzing complex datasets Translate analytical insights into clear, actionable recommendations for senior leadership Regularly participate in code review and hold a high bar for code quality Build and mentor a high-performing team of data scientists, fostering their professional growth and technical capabilities Balance hands-on model development with strategic team leadership Drive project execution through both direct reports and cross-functional project teams Partner with business leaders to identify high-impact opportunities for data science applications Present complex analytical findings to stakeholders at all levels of the organization Develop and execute data science strategies that align with TFS's business objectives Lead the evaluation and adoption of emerging data science technologies and methodologies Requirements Master's degree or higher in Statistics, Data Science, Computer Science, Mathematics, or related quantitative field At least 5 years of progressive experience in applied data science and analytics Demonstrated experience leading and mentoring junior data scientists and analysts Track record of successfully delivering complex data science projects in a business environment Strong proficiency in Python and its data science ecosystem Extensive experience with modern machine learning frameworks including scikit-learn, PyTorch, and statsmodels Deep understanding of statistical and machine learning techniques Experience with data manipulation, cleaning, and pipeline development Leadership & Soft Skills Proven ability to translate complex technical concepts into actionable business insights Strong problem-solving skills with a proactive approach to identifying opportunities Excellence in stakeholder management and cross-functional collaboration Outstanding written and verbal communication skills Ph.D. in Statistics, Mathematics, Economics, Computer Science, or related quantitative field Cloud Platform Expertise: Experience deploying and scaling machine learning models on cloud platforms (AWS SageMaker, Azure ML) Understanding of cloud-based data processing and storage solutions Knowledge of MLOps best practices and deployment workflows Strategic Leadership: Track record of successfully influencing and driving change across multiple departments Experience managing complex, cross-functional initiatives with competing priorities Ability to build consensus and align stakeholders around data science initiatives Experience modernizing legacy systems and processes Knowledge of data architecture principles and system integration Proven ability to design and implement scalable data science solutions Benefits Professional growth and development programs to help advance your career, as well as tuition reimbursement Paid holidays and paid time off Comprehensive health care and wellness plans for your entire family

Job Description

Job Description

Company Description

CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.

Job Description

CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.

Specific responsibilities for the Machine Learning Engineer position include:

• Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
• Deconstructing client needs into data-driven processes/models and analytical measures.
• Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
• Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
• Productionizing ML systems with a focus on optimization and scalability to satisfy clients’ requirements.
• Growing CapTech’s Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.

Qualifications

• Bachelor's degree or equivalent combination of education and experience.
• Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
• Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
• Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
• Proficiency with containerization (e.g., Docker) and microservices.
• Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
• Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
• Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
• Knowledge of DevOps and automation best practices.
• Knowledge of statistics and statistical modeling methods.
• Knowledge of model management and model versioning best practices.

Additional Information

We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions.  You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way.  Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. 

• Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
• Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs
• Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care
• Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
• Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
• Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities. 
• 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values.  We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE.  As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.  

#LI-LM1 

Organization Overview
The newly-created Data Science Platform (DSP) supports and advances the research objectives of Rockefeller Universitys faculty and staff by providing training and consultative support in the field of data science especially in the areas of machine learning and artificial intelligence (ML/AI) and deep learning (DL).
Overview
Reporting to the Chief Information Officer, and working primarily with Faculty, Research Staff, Postdoctoral Fellows, and Graduate Students, the Director leads a team of seven (7) Machine Learning Engineers that identify and work closely with internal and external resources to determine how to most effectively support University researchers' needs for applying ML/AI and/or other quantitative approaches to new and existing data sets across a wide variety of disciplines, including structural biology, imaging, microscopy, "omics," neuroscience, immunology/virology, and the physical sciences. The position also includes leadership of the Fisher Center AI Platform, which seeks to apply AI/ML techniques to understand the causes of Alzheimer's disease, improve the care of people living with it, and find a cure.
Responsibilities
Responsibilities include, but are not limited to the following:
+ Consult on experimental design and best usage, with emphasis on best practices for proper analysis and reproducibility;
+ Recruit and manage Data Science Platform staff members;
+ Develop and lead training/classes in ML/AI fundamentals and techniques; adapt and evolve training to best serve the changing needs of the research community;
+ Identify, improve, and/or create appropriate training data sets for ML/AI projects;
+ Advise researchers and collaborators on method selection and implementation, as well as on how to direct research projects to ensure alignment with emerging advancements in deep learning;
+ Maintain awareness of advances in the field and their applicability to problems of interest to members of Rockefeller's research community;
+ Identify and apply for appropriate grant funding opportunities;
+ Additional duties and special projects as assigned.
Qualifications
**REQUIRED QUALIFICATIONS:**
+ Ph.D. or equivalent degree in data science, machine learning, artificial intelligence, computer science, electrical engineering, statistics or a related field.
+ A minimum of ten (10) years of research experience in identifying, formulating and solving biological problems through the application of advanced artificial intelligence technologies.
+ At least two (2) years of leadership experience.
+ A strong publication record in top-tier venues focused on machine learning, artificial intelligence or their domain-specific applications, such as AAAI, NeurIPS, ICML, ICLR, IJCAI, KDD, ICCV, ECCV, CVPR, EMNLP, ACL, MICCAI, IJCV, TPAMI, TIP, ACM-MM, Nature, Nature Methods, Science and equivalent conferences and journals.
+ Broad knowledge on recent advances in artificial intelligence, such as foundation models (including large-language models, vision-language models, genomic foundation models, etc.), generative models, self-supervised learning, large-scale distributed training, efficient deep learning, with research expertise in at least one relevant field.
+ Basic knowledge of the deep learning tool stack, such as PyTorch, Python, CUDA, Linux, and computing cluster management.
+ Must possess excellent communication and interpersonal skills.
**PREFERRED QUALIFICATIONS:**
+ Prior work experience in a research related, academic environment is a plus.
The Rockefeller University is an equal opportunity employer - veterans/individuals with disabilities. Qualified applicants will receive consideration for employment without regard to characteristics protected by applicable local, state or federal law, including but not limited to disability and protected veteran status.
The salary of the finalist selected for this role will be set based on various factors, including but not limited to organizational budgets, qualifications, experience, education, licenses, specialty, and training. The hiring range provided represents The Rockefeller University's good faith and reasonable estimate of the range of possible compensation at the time of posting.
Compensation Range: Min
USD $175,000.00/Yr.
Compensation Range: Max
USD $190,000.00/Yr.

Faculty position in Chemical and Biomolecular Engineering
Johns Hopkins
The Johns Hopkins University's Department of Chemical and Biomolecular Engineering seeks applicants for tenure-track/tenured faculty positions. Candidates with research and teaching interests in Systems Theory (Design -from plant level to molecular- and/or Control) with a strong component in Data Science/Artificial Intelligence (DSAI) relevant to chemical and biomolecular engineering will be considered.
Candidates in these areas will contribute to the Department of Chemical and Biomolecular Engineering and Johns Hopkins University community and mission to educate tomorrow's leaders in ChemBE and pioneer technological advancements to address critical global challenges in energy, materials design, and precision medicine, to build a stronger, cleaner, and healthier future.
Candidates in the Systems/Data Science/Artificial Intelligence area will perform original research at the interface between chemical engineering modeling/scientific computation and modern Data Science and Machine Learning. Possible efforts include but are not limited to modern design and optimization (e.g. in the role of AI in the transition from automated to autonomous process operations). Creative uses of DSAI in materials/chemicals/process discovery/design, or towards novel computational approaches to atomistic simulations or biological systems modeling are of direct interest.
The Department of Chemical and Biomolecular Engineering is highly collaborative with an established track record of national leadership and developing new disciplines within chemical and biomolecular engineering. The Department has large, vibrant educational programs at the undergraduate, master's, and Ph.D. levels as well as post-doctoral level.
This past year, Johns Hopkins announced a major new investment in Data Science and the exploration of Artificial Intelligence that will be included in a new data science and translation institute, a new state-of-the-art facility and recruitment of 110 new faculty over the next five years. The institute will bring together world-class experts in artificial intelligence, machine learning, applied mathematics, computer engineering, and computer science to fuel data-driven discovery in support of research activities across the institution including within the Chemical and Biomolecular Engineering department.
In addition to its role in this initiative, the department is a leader in other major research centers and institutes at Johns Hopkins, including the Ralph O'Connor Sustainable Energy Institute (ROSEI), the Institute for Nanobiotechnology (INBT), the Advanced Mammalian Biomanufacturing Innovation Center (AMBIC), International Biomanufacturing Network (IBIoNe) MINDS (Mathematical Institute for Data Science), the Maryland Area Research Computing Center (MARCC), the Hopkins Extreme Materials Institute (HEMI). Faculty also collaborate frequently with scholars in the Johns Hopkins School of Medicine, Applied Physics Laboratory, Bloomberg School of Public Health, and the Krieger School of Arts and Sciences.
Applicants should have a Ph.D. in chemical and biomolecular engineering or a related field, a track record of outstanding research, and a commitment to excellence in education and student mentoring.
The expected base pay range for this position at a rank of Assistant Professor is $150,000-$00,000.
The referenced salary range reflects base pay, which is based on faculty rank and years in rank. This salary range does not include all components of the WSE/ChemBE faculty compensation program or pay from participation in WSE/ChemBE incentive compensation programs. Therefore, the actual compensation paid to the selected candidate may vary from the salary range stated herein. For more information, please contact the hiring department.
Priority given to applications received before 10/31/2025.
Salary: 150,000 - 200,000
Interested candidates should submit a cover letter, CV, references, and research and teaching statements .
Job Type: Full Time
The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range.
Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
EEO is the Law

Deloitte is a leader in GenAI products and solutions. We are looking for a highly skilled and experienced Manager to drive the ground-breaking GenAI products we are creating within Strategic Analytics. The ideal candidate will have a strong background in the design and implementation of GenAI models and agents, as well as an expertise in building and maintaining front-end UIs. Your work will be integral to deliver on some of the most important priorities happening at Deloitte. If you seek a role that focuses on cutting edge technology, delivers solutions for executive leadership, revolutionizes the future of Finance, and prioritizes professional growth, look no further.
The team
Strategic Analytics sits within our Finance FP&A organization. We support the firm and business executive leaders along with our counterparts in other financial and operational roles. Our team leverages cloud computing, AI & data science, strategic thinking, and deep firm knowledge to support leadership's most important business decisions. Our insights are integral to driving growth into the future.
GenAI is a top priority for the future of the firm. We are actively building products and solutions that will revolutionize our firm and our clients. The selected candidate would be directly involved in the success of these engagements.
Specific responsibilities and qualifications for the Data Science Manager role are outlined below.
Recruiting for this role ends on Oct 15,, 2025
Work you'll do Core responsibilities:
+ Lead the design, development, and implementation of GenAI models & agents
+ Manage the creation & maintenance of intuitive and engaging UI/UX for analytics tools and applications
+ Develop timelines, milestones, and metrics to effectively plan and execute projects
+ Collaborate with firm & business leaders, other FP&A teams and other key stakeholders on project deliverables and progress
+ Ensure the scalability, reliability, and performance of AI models and analytics platforms
+ Manage and mentor a team of data scientists, AI engineers, and UI/UX designers
+ Translate complex technical concepts and insights to non-technical stakeholders
+ Support and build presentations on our GenAI products & solutions for clients and leadership
+ Develop and implement best practices for AI model development, deployment, and monitoring
Other responsibilities:
+ Collaborate with cross-functional teams to identify new GenAI opportunities to drive business value
+ Drive the strategic vision for AI and analytics within the organization, aligning with overall business goals
+ Stay current with the latest advancements in GenAI, AI/ML, and UI/UX design
+ Automate and streamline projects to increase efficiencies and scalability
+ Support ad-hoc requests and investigations into the data & process that support our GenAI tools
QualificationsRequired:
+ Bachelor's degree in AI / Data Science or a related subject
+ Minimum of 5+ years of relevant experience
+ Limited immigration sponsorship may be available
+ Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Demonstrated accomplishments in the following areas:
+ Advanced understanding of data science coding languages (Python, R, SQL)
+ Experience developing GenAI solutions with LLMs (Llama, ChatGPT)
+ Experience with cloud platforms (Databricks, Microsoft Azure)
+ Experience with visualizations tools (Tableau, Power BI)
+ Advanced in MS Office (Excel, PowerPoint, Outlook, Teams)
+ Implementing complex AI/ML algorithms
+ Strong project management skills
+ Excellent problem-solving skills and the ability to think strategically
+ Strong leadership and team management skills
+ Excellent communication and interpersonal skills
Preferred:
+ Advanced education degree
+ Certifications in GenAI, AI/ML, or UI/UX design
+ Experience with front-end development (HTML, CSS, JavaScript, React)
+ Experience in the financial services or consulting industry
+ Business knowledge on financial and operational data
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100-$232,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.