Lead AI/ML Data Engineer

Qualifications

• Required: Bachelor's degree in Computer Science, Data Engineering, or related field
• 5-7 years of related work experience
• If a bachelor's degree is required, related work experience may be substituted in some positions
• One year of college course work at an accredited institution is equivalent to one year of related work experience
• BROWSER REQUIREMENTS: Applications must be submitted using Chrome, Mozilla Firefox, Safari, or

Benefits

• Remote Work - Fully remote work available for most positions
• Retirement Savings - Generous 403(b) employer contributions and financial wellness resources, including professional financial advising
• Health & Wellness Perks - Fitness and bicycle subsidies, on-site and virtual wellness programs (live yoga, meditation, mental health webinars, flu shot clinics, and more)
• Support & Family Care - Employer paid Employee Assistance Program (EAP) and back-up care options for children, adults, elders, and even pets
• This position is eligible for remote work in the contiguous US
• Compensation Grade Range
• $124,950.00-$147,000.00
• Multiple factors are taken into consideration to arrive at the final hourly rate/annual salary to be offered to the selected candidate

Responsibilities

• This role focuses on enabling data scientists and analysts by ensuring high-quality, well-structured, and accessible data for model training, evaluation, and deployment
• The AI/ML Data Engineer collaborates with data architects, data scientists, and business stakeholders to operationalize machine learning solutions and integrate them into enterprise systems
• Design and implement scalable data pipelines for feature extraction, model training, and real-time/batch inference
• Ensure pipelines areoptimizedfor performance, quality, reliability, and reproducibility
• Apply coding standards, testing, CI/CD, and monitoring practices to all ML data workflows
• ML Platform and Infrastructure Support:
• Develop andmaintaininfrastructure to support machine learning workflows
• Work with cloud services and containerization to enable scalable model deployment
• Partner with data scientists to understand model requirements and translate them into engineering solutions
• Support experimentation with curated, versioned, and well-governed datasets
• Feature Engineering and Data Preparation:
• Develop reusable feature pipelines and manage feature stores
• Ensure data used in ML models isaccurate, consistent, and reliable
• Work with business stakeholders and analytics teams to integrate ML outputs into enterprise applications and reporting systems
• Serve as a technical resource on AI/ML initiatives

Full Description

Who We Are:

The Association of American Medical Colleges is a not-for-profit association dedicated to transforming health care by supporting the entire spectrum of medical education, medical research, and patient care conducted by our member institutions.

We are dedicated to the communities we serve and steadfast in our goal to improve the health of all.

At the AAMC, we are committed to supporting our employees with a comprehensive benefits package designed to promote well-being, professional growth, and work-life balance. Highlights include:

• Remote Work - Fully remote work available for most positions

• Retirement Savings - Generous 403(b) employer contributions and financial wellness resources, including professional financial advising.

• Health & Wellness Perks - Fitness and bicycle subsidies, on-site and virtual wellness programs (live yoga, meditation, mental health webinars, flu shot clinics, and more)

• Support & Family Care - Employer paid Employee Assistance Program (EAP) and back-up care options for children, adults, elders, and even pets

Additional information can be found on our website.

Why us, why now?

The Lead AI/ML Data Engineeris responsible fordesigning, building, andmaintainingthe data pipelines and platforms that support artificial intelligence and machine learning initiatives.

This role focuses on enabling data scientists and analysts by ensuring high-quality, well-structured, and accessible data for model training, evaluation, and deployment.

The AI/ML Data Engineer collaborates with data architects, data scientists, and business stakeholders to operationalize machine learning solutions and integrate them into enterprise systems.

How will you make an impact?

Data Pipeline Development for AI/ML:

• Design and implement scalable data pipelines for feature extraction, model training, and real-time/batch inference.

• Ensure pipelines areoptimizedfor performance, quality, reliability, and reproducibility.

• Apply coding standards, testing, CI/CD, and monitoring practices to all ML data workflows

ML Platform and Infrastructure Support:

• Develop andmaintaininfrastructure to support machine learning workflows.

• Work with cloud services and containerization to enable scalable model deployment.

Collaboration with Data Scientists:

• Partner with data scientists to understand model requirements and translate them into engineering solutions.

• Support experimentation with curated, versioned, and well-governed datasets.

Feature Engineering and Data Preparation:

• Develop reusable feature pipelines and manage feature stores.

• Ensure data used in ML models isaccurate, consistent, and reliable.

Cross-Functional Collaboration:

• Work with business stakeholders and analytics teams to integrate ML outputs into enterprise applications and reporting systems.

• Serve as a technical resource on AI/ML initiatives.

What will you bring to the role?

Required Qualifications:

• Required: Bachelor's degree in Computer Science, Data Engineering, or related field

• Preferred: Master's degree in Data Science, AI/ML Engineering, or related field.

• 5-7 years of related work experience

PreferredQualifications:

• Experience with cloud platforms, distributed data systems, and ML frameworks.

• Cloud (AWS, Azure, GCP) or ML certifications

Remote Work Eligibility

This position is eligible for remote work in the contiguous US

Compensation Grade Range

$124,950.00-$147,000.00

Multiple factors are taken into consideration to arrive at the final hourly rate/annual salary to be offered to the selected candidate.

Factors may include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, as well as internal equity, market, and business considerations.

If a bachelor's degree is required, related work experience may be substituted in some positions.

One year of college course work at an accredited institution is equivalent to one year of related work experience.

The Association of American Medical Colleges (AAMC) is an Equal Opportunity/Affirmative Action Employer.

The AAMC is committed to the policy of an equal employment opportunity in recruitment, hiring, career advancement, and all other personnel practices.

The AAMC will not discriminate on the basis of race, color, sex, national origin, religion, age, marital status, personal appearance, sexual orientation, gender identity or expression, family responsibilities, matriculation, political affiliation, genetic information, disability, past or current military service, or any other legally protected characteristic.

Please attach a resume as part of the application process.

It is important that files DO NOT include periods ( . ) within the file name.

BROWSER REQUIREMENTS: Applications must be submitted using Chrome, Mozilla Firefox, Safari, orMicrosoft Edge.