11,632 Ia Engineer jobs in the United States

The Community School of the Arts Foundation (CSAF) is seeking a passionate and dedicated Artificial Intelligence (AI) / Machine Learning (ML) / Data Science to support our mission in providing accessible and high-quality arts education to underprivileged communities. As a part of our team, you will play an integral role in analyzing and interpreting data to help optimize our programs, increase efficiency, and improve overall impact.

We are looking for a college, graduate student or recent grad who is interested in Artificial Intelligence. Machine Learning and Data Science. This is a remote position requiring 15-20 hrs.weekly. Only volunteers located in the U.S. We can only respond to those with resumes.

Responsibilities:

1. Analyze and interpret data related to student enrollment, demographics, and program performance.
2. Develop and implement AI/ML models to identify trends, patterns, and opportunities for improvement in our programs.
3. Collaborate with the CSAF team to develop data-driven strategies for program expansion and resource allocation.
4. Assist in creating visualizations and reports to communicate data insights to staff and stakeholders.
5. Stay current on AI/ML best practices and technologies, and recommend new tools and techniques to further enhance CSAF's data analysis capabilities.

Requirements:

1. Proficient in AI/ML algorithms and data science techniques.
2. Experience with programming languages such as Python or R.
3. Strong analytical and problem-solving skills.
4. Excellent communication and collaboration abilities.
5. Passion for the arts and commitment to making a positive impact in underprivileged communities.

Benefits:

1. Opportunity to apply your AI/ML and data science skills to make a meaningful impact in the lives of children and families in need.
2. Gain valuable experience working with a diverse team of educators, artists, and administrators.
3. Network with professionals in the arts and non-profit sectors.
4. Flexible volunteer hours and remote work options.
5. Letters of recommendation and professional references upon successful completion of the volunteer term.

Join us at the Community School of the Arts Foundation and help us empower communities through the transformative power of the arts. Apply today and make a lasting difference in the lives of our students and families

In a world of possibilities, pursue one with endless opportunities. Imagine Next!
When it comes to what you want in your career, if you can imagine it, you can do it at Parsons. Imagine a career working with exceptional people sharing a common quest. Imagine a workplace where you can be yourself. Where you can thrive. Where you can find your next, right now. We've got what you're looking for.
**Job Description:**
Parsons is looking for an amazingly talented **Artificial Intelligence/Data Science Engineer** to join our team! In this role you will become a member of the Parsons' TEAMS NEXT support staff with a primary work assignment supporting the Missile Defense Agency's Command, Control, Battle Management and Communications (C2BMC) Development organization. This assignment requires a seasoned professional that is experienced with AI initiatives aimed at supporting business operations efficiencies.
**What You'll Be Doing:**
+ Develop and integrate agentic AI tools and pipelines across the Directorate functional and product offices leveraging
+ unstructured data sets.
+ Develop BizOps support using MIRA and METRIC tools to support C2BMC acquisitions
+ Develop AI Description Documents (AIDDs) and Use Cases for senior level review
+ Develop AI minimum viable products (MVPs)
+ Support/drive the transformation of C2BMC AIRLs
+ Support/drive the transformation of C2BMC DRLs
**What Required Skills You'll Bring:**
+ Master's degree in STEM and 12+ years of relevant experience
+ Active Secret clearance required
+ Experience as Artificial intelligence (AI)/Data Engineer
+ Experience with AI pipeline development (specifically Palantir Foundry)
+ Understanding of AI commercial use of AI models, large language models, and agentic AI
**What Desired Skills You'll Bring:**
+ Experience with Missile Defense Agency preferred
**Security Clearance Requirement:**
An active Secret security clearance is required for this position.
This position is part of our Federal Solutions team.
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now.
Salary Range: $120,800.00 - $217,400.00
We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!
Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.
We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to .
About Us
Parsons is a digitally enabled solutions provider focused on the defense, security, and infrastructure markets. With nearly 75 years of experience, Parsons is uniquely qualified to deliver cyber/converged security, technology-based intellectual property, and other innovative services to federal, regional, and local government agencies, as well as to private industrial customers worldwide.
Parsons is an equal opportunity, drug-free employer committed to diversity in the workplace. Minority/Female/Disabled/Protected Veteran/LGBTQ+.
For more about Parsons, visit parsons.com and follow us on Facebook, Twitter, LinkedIn, and YouTube.

We are seeking aDeveloper II who willparticipate in the creation, implementation, maintenance, performance, production support and documentation of various departmental and enterprise-wide application systems. This includes but is not limited to the installation, modification, and testing of new and/or upgraded applications (packages or homegrown), operating systems, file structures, hardware, communication devices, and productivity tools. Applies analysis techniques and procedures to gather and then translate business requirements into functional/technical specifications and designs. Using functional specifications and designs, produces all or part of the deliverables. Maintains databases and application system code.

Specific Duties & Responsibilities

Analysis & Requitements Gathering

• Under guidance define business/clinical/education problems by meeting with clients to observe and understand current processes and the issues related to those processes. Provide written documentation of findings to share with the client and other IT colleagues.
• Gather system requirements by meeting with clients and researching existing technology to understand the business requirements for new applications.

Design & Development

• Develop detailed tasks by analyzing project scope and milestones for projects to ensure product is delivered quickly according to software lifecycle standards.
• Write functional/technical specifications by taking the provided system requirements, putting them into functional and technical descriptions for use by programmers and business analysts to develop technical solutions.
• Develop/change data input, files/database structures, data transformation, algorithms, and data output by using appropriate computer language/tools to provide technical solution for application development tasks. (Verify if this statement means programming)
• Document code and associated processes by adhering to development methodologies, adding code comments and appropriate documentation to various knowledge-based system(s) to simplify code maintenance and to improve the support.

Testing & Documentation

• Create and document test scenarios using the appropriate testing tools to validate and verify application functionality.
• Test all changes by using the appropriate test scenarios to ensure all delivered solutions work as expected and errors are handled in a meaningful way.
• Author and maintain documentation by writing audience-appropriate materials to serve as technical and/or end-user references.

Implementation & Maintenace

• Implement changes by adhering to the change management policies and procedures for any given project to communicate to all parties the nature, significance, and risk factors of the solution.
• Monitor changes and resolve problems by responding to problems as they occur, by reviewing all processing and output of the newly implemented solution, and by proactively ensuring the solution works successfully to satisfy the customer requirements and to provide a smooth transition to the new solution.
• Provide support by triaging and resolving issues to ensure prompt, effective service.
• Other duties as assigned.

Minimum Qualifications

• Bachelor's Degree.
• One year of related experience with computer systems and applications.
• Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.

Preferred Qualifications

• Knowledge in the assigned application as well as the platform on which it runs.

Classified Title: Developer II
Role/Level/Range: ATP/03/PC
Starting Salary Range: $27.58 - $48.41 HRLY (Commensurate w/exp.)
Employee group: Casual / On Call
Schedule: M-F
FLSA Status:Exempt
Location: Remote
Department name: DSAI Institute
Personnel area: Whiting School of Engineering

Total Rewards
The referenced base salary range represents the low and high end of Johns Hopkins University's salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, market conditions, education/training and other qualifications. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here:

Education and Experience Equivalency
Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted, equivalencies will follow these guidelines: JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job.

Applicants Completing Studies
Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date.

Background Checks
The successful candidate(s) for this position will be subject to a pre-employment background check. Johns Hopkins is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice. A prior criminal history does not automatically preclude candidates from employment at Johns Hopkins University. In accordance with applicable law, the university will review, on an individual basis, the date of a candidate's conviction, the nature of the conviction and how the conviction relates to an essential job-related qualification or function.

Diversity and Inclusion
The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, the JHU Roadmap on Diversity and Inclusion.

Equal 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.

EEOis the Law

Accommodation Information
If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the Talent Acquisition Office at For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit

Vaccine Requirements
Johns Hopkins University requires all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry.

The following additional provisions may apply, depending upon campus. Your recruiter will advise accordingly.
The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.

We are seeking a Developer II who will participate in the creation, implementation, maintenance, performance, production support and documentation of various departmental and enterprise-wide application systems. This includes but is not limited to the installation, modification, and testing of new and/or upgraded applications (packages or homegrown), operating systems, file structures, hardware, communication devices, and productivity tools. Applies analysis techniques and procedures to gather and then translate business requirements into functional/technical specifications and designs. Using functional specifications and designs, produces all or part of the deliverables. Maintains databases and application system code.

Specific Duties & Responsibilities

Analysis & Requitements Gathering

• Under guidance define business/clinical/education problems by meeting with clients to observe and understand current processes and the issues related to those processes. Provide written documentation of findings to share with the client and other IT colleagues.

• Gather system requirements by meeting with clients and researching existing technology to understand the business requirements for new applications.

Design & Development

• Develop detailed tasks by analyzing project scope and milestones for projects to ensure product is delivered quickly according to software lifecycle standards.

• Write functional/technical specifications by taking the provided system requirements, putting them into functional and technical descriptions for use by programmers and business analysts to develop technical solutions.

• Develop/change data input, files/database structures, data transformation, algorithms, and data output by using appropriate computer language/tools to provide technical solution for application development tasks. (Verify if this statement means programming)

• Document code and associated processes by adhering to development methodologies, adding code comments and appropriate documentation to various knowledge-based system(s) to simplify code maintenance and to improve the support.

Testing & Documentation

• Create and document test scenarios using the appropriate testing tools to validate and verify application functionality.

• Test all changes by using the appropriate test scenarios to ensure all delivered solutions work as expected and errors are handled in a meaningful way.

• Author and maintain documentation by writing audience-appropriate materials to serve as technical and/or end-user references.

Implementation & Maintenace

• Implement changes by adhering to the change management policies and procedures for any given project to communicate to all parties the nature, significance, and risk factors of the solution.

• Monitor changes and resolve problems by responding to problems as they occur, by reviewing all processing and output of the newly implemented solution, and by proactively ensuring the solution works successfully to satisfy the customer requirements and to provide a smooth transition to the new solution.

• Provide support by triaging and resolving issues to ensure prompt, effective service.

• Other duties as assigned.

Minimum Qualifications

• Bachelor’s Degree.

• One year of related experience with computer systems and applications.

• Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.

Preferred Qualifications

• Knowledge in the assigned application as well as the platform on which it runs.

Classified Title: Developer II

Role/Level/Range: ATP/03/PC

Starting Salary Range: $27.58 - $48.41 HRLY (Commensurate w/exp.)

Employee group: Casual / On Call

Schedule: M-F

FLSA Status: Exempt

Location: Remote

Department name: DSAI Institute

Personnel area: Whiting School of Engineering

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:

Equal 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

**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.

We are seeking a **_Developer II_** who will participate in the creation, implementation, maintenance, performance, production support and documentation of various departmental and enterprise-wide application systems. This includes but is not limited to the installation, modification, and testing of new and/or upgraded applications (packages or homegrown), operating systems, file structures, hardware, communication devices, and productivity tools. Applies analysis techniques and procedures to gather and then translate business requirements into functional/technical specifications and designs. Using functional specifications and designs, produces all or part of the deliverables. Maintains databases and application system code.
**Specific Duties & Responsibilities**
_Analysis & Requitements Gathering_
+ Under guidance define business/clinical/education problems by meeting with clients to observe and understand current processes and the issues related to those processes. Provide written documentation of findings to share with the client and other IT colleagues.
+ Gather system requirements by meeting with clients and researching existing technology to understand the business requirements for new applications.
_Design & Development_
+ Develop detailed tasks by analyzing project scope and milestones for projects to ensure product is delivered quickly according to software lifecycle standards.
+ Write functional/technical specifications by taking the provided system requirements, putting them into functional and technical descriptions for use by programmers and business analysts to develop technical solutions.
+ Develop/change data input, files/database structures, data transformation, algorithms, and data output by using appropriate computer language/tools to provide technical solution for application development tasks. (Verify if this statement means programming)
+ Document code and associated processes by adhering to development methodologies, adding code comments and appropriate documentation to various knowledge-based system(s) to simplify code maintenance and to improve the support.
_Testing & Documentation_
+ Create and document test scenarios using the appropriate testing tools to validate and verify application functionality.
+ Test all changes by using the appropriate test scenarios to ensure all delivered solutions work as expected and errors are handled in a meaningful way.
+ Author and maintain documentation by writing audience-appropriate materials to serve as technical and/or end-user references.
_Implementation & Maintenace_
+ Implement changes by adhering to the change management policies and procedures for any given project to communicate to all parties the nature, significance, and risk factors of the solution.
+ Monitor changes and resolve problems by responding to problems as they occur, by reviewing all processing and output of the newly implemented solution, and by proactively ensuring the solution works successfully to satisfy the customer requirements and to provide a smooth transition to the new solution.
+ Provide support by triaging and resolving issues to ensure prompt, effective service.
+ Other duties as assigned.
**Minimum Qualifications**
+ Bachelor's Degree.
+ One year of related experience with computer systems and applications.
+ Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.
**Preferred Qualifications**
+ Knowledge in the assigned application as well as the platform on which it runs.
Classified Title: Developer II
Role/Level/Range: ATP/03/PC
Starting Salary Range: $27.58 - $48.41 HRLY (Commensurate w/exp.)
Employee group: Casual / On Call
Schedule: M-F
FLSA Status: Exempt
Location: Remote
Department name: DSAI Institute
Personnel area: Whiting School of Engineering
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

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:

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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

Job Description:

Nextracker is the leading provider of intelligent solar tracking systems, offering advanced solutions that optimize the performance and reliability of utility-scale solar power plants around the world. Our technology enables maximum energy yield, grid resilience, and operational efficiency-supporting a more sustainable energy future.

Key Responsibilities:

• Assist in the development and evaluation of machine learning models for image-based object detection and tracking.
• Preprocess and annotate image datasets for training and validation.
• Implement and fine-tune deep learning architectures (e.g., CNNs, YOLO, Faster R-CNN) for real-time image recognition tasks.
• Collaborate on model deployment pipelines using tools such as TensorFlow Serving, ONNX, or Docker.
• Analyze model performance and contribute to iterative improvements.
• Document findings, experiments, and best practices.

Preferred Qualifications:

• Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Strong foundation in Python and machine learning libraries (e.g., TensorFlow, PyTorch, OpenCV).
• Familiarity with image processing techniques and computer vision concepts.
• Experience with version control (Git) and cloud platforms (AWS, GCP, or Azure) is a plus.
• Excellent problem-solving skills and a collaborative mindset.

The hourly rate for this position is $45-50/hr

At Nextracker, we are leading in the energy transition, providing the most comprehensive portfolio of intelligent solar tracker and software solutions for solar power plants, as well as strategic services to capture the full value of solar power plants for our customers. Our talented worldwide teams are transforming PV plant performance every day with smart technology, data monitoring and analysis services.

For us at Nextracker, sustainability is not just a word. It's a core part of our business, values and our operations. Our sustainability efforts are based on five cornerstones: People, Community, Environment, Innovation, and Integrity. We are creative, collaborative and passionate problem-solvers from diverse backgrounds, driven by our shared mission to provide smart solar and software solutions for our customers and to mitigate climate change for future generations.

Nextracker is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Culture is our Passion