Principal Machine Learning Operations Engineer

Definitive Healthcare, US; Framingham (MA); On-site; USD 158,000 - 294,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

401(k) plan with employer match

Job summary

Definitive Healthcare in Framingham, MA seeks a hands-on Principal MLOps Engineer to architect and scale enterprise AI infrastructure, spanning traditional models and Generative AI. You will design automated pipelines, ensure reliability, and drive best practices as the Functional Lead.

You will mentor senior engineers, establish lifecycle policies, and collaborate across teams to translate business goals into robust, scalable systems on AWS and Databricks.

Qualifications

• 12+ years of data/ML engineering experience.
• 5+ years building MLOps platforms in production.
• Hands-on production experience with Databricks and AWS.
• Proficiency in Python with TensorFlow/PyTorch deployments.

Responsibilities

• Design and maintain scalable ML and data pipelines for CI/CD and deployments.
• Govern enterprise feature stores and vector stores for low latency.
• Build workflow orchestration for multi-stage training and data processing dependencies.
• Lead Generative AI infra for LLMs, RAG, and multi-agent workflows.
• Establish efficient training environments and fine-tuning pipelines.
• Optimize inference pipelines for high throughput and low latency.
• Manage model registry lifecycle from experimentation to production.
• Architect AWS autoscaling for training/inference workloads.
• Implement real-time monitoring for performance and drift.
• Set coding standards, architectural blueprints, framework choices, and SLAs.
• Mentor senior ML engineers and promote automation.

Skills

Python

Databricks

AWS

TensorFlow

PyTorch

MLOps

ML Engineering

Education

Bachelor's or Master's in CS/CE/Data Science

Tools

Databricks

AWS

Job description

Principal Machine Learning Operations Engineer

Framingham, MA

About Definitive Healthcare :

At Definitive Healthcare (NASDAQ: DH), we’re passionate about turning data, analytics, and expertise into meaningful intelligence that helps our customers achieve success and shape the future of healthcare. We empower them to uncover the right markets, opportunities, and people—paving the way for smarter decisions and greater impact.

Headquartered just outside of Boston, Massachusetts, Definitive Healthcare operates across North America, Europe, and India, supporting a growing global client base of more than 2,400 customers since our founding in 2011.

We’re also a great place to work. In 2024 and 2025, we earned multiple workplace honors, including Built In’s 100 Best Places to Work in Boston (both years), a Stevie Bronze Award for Great Employers, and recognition as a Great Place to Work in India.

We foster a collaborative, inclusive culture where diverse perspectives drive innovation. Through programs like DefinitiveCares and our employee-led affinity groups we strive to promote connection, education, and inclusion.

About the Role

We are seeking a hands-on Principal MLOps Engineer & Functional Lead to architect, build, and scale our next-generation Machine Learning and Generative AI infrastructure. In this role, you will design a unified, automated, and secure AI ecosystem capable of training and deploying both traditional predictive models and advanced Generative/Agentic AI systems at enterprise scale.

As the Functional Lead, you will drive engineering excellence, establish MLOps best practices across the organization, mentor senior engineers, and translate strategic business objectives into robust, highly scalable automated pipelines.

What You’ll Do

• Design, implement, and maintain scalable, robust ML pipelines and data pipelines for CI/CD, and ML model deployments.
• Architect and govern the enterprise feature store and vector store infrastructure to support low-latency feature retrieval for both traditional ML and Retrieval Augmented Generation (RAG) applications.
• Build and manage enterprise-grade workflow orchestration layers to schedule, monitor, and manage complex, multi-stage model training and data processing dependencies.
• Be a subject matter expert for Generative AI infrastructure, building scalable frameworks to support advanced LLM applications, RAG pipelines, and multi-agent Agentic AI workflows.
• Establish highly efficient environments for model training and parameter-efficient fine-tuning of open-source and proprietary models.
• Optimize high-throughput, low-latency model inference pipelines, utilizing advanced caching and compute distribution techniques to handle large-scale concurrent requests.
• Establish and enforce lifecycle management policies utilizing an enterprise model registry to manage version control, lineage, and tracking from experimentation to production.
• Architect high-performing, cost-efficient infrastructure utilizing autoscaling groups on AWS to dynamically handle varying training and inference workloads.
• Implement comprehensive, real-time endpoint monitoring systems to track model performance, data drift, latency, and system health metrics.
• Serve as the functional lead for ML engineering, defining coding standards, architectural blueprints, framework selections, and operational SLAs.
• Provide technical guidance, code reviews, and mentorship to senior machine learning and data engineers, fostering an agile culture of innovation, automation, and continuous improvement.

What You'll Bring

• Bachelor's or Master’s degree in Computer Science, Computer Engineering, Data Science, or a closely related quantitative engineering discipline.
• 12+ years of professional experience in data engineering, ML engineering with a minimum of 5 years dedicated to building, scaling, and managing MLOps platforms in production.
• Deep, hands‑on production experience architecting with in Databricks and native Aws environments.
• Expert proficiency in Python, with strong production experience deploying models built in TensorFlow and PyTorch.

Compensation and Benefits

The salary range for this position is $158,000 – $294,000 per year, which represents the base pay the company reasonably and in good faith expects to pay for this role. Actual pay within this range will be determined based on factors such as relevant experience, skills, and qualifications.

Depending on the position, employees may also be eligible to participate in a company bonus or commission plan. All employees are eligible for a comprehensive benefits package, including medical, dental, and vision coverage, unlimited paid time off, and participation in the company’s 401(k) plan with employer contribution.

Why we love Definitive, and why you will too!

• Industry leading products
• Work hard, and have fun doing it
• Incredibly fast growth means limitless opportunity
• Flexible and dynamic culture
• Work alongside some of the most talented and dedicated teammates
• Definitive Cares, our community service group, gives all of us a chance to give back
• Competitive benefits package including great healthcare benefits and a 401(k) match

What our Employees are saying about us on Glassdoor:

“Great Work atmosphere, great work life balance, excellent company to work for, amazing top notch product, incredible customer service, lots of tools to help you succeed.”

-Business Development Manager

“Great team. Amazing growth. Employees are treated very well.”

“I have waited 36 years to work at a dream job for a dream company and I am so happy to have finally got there.”

Definitive Hiring Philosophy

Definitive Healthcare is an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants and teammates. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, religion, age, gender, gender identity, sexual orientation or any other status.

Your privacy is important to us. Please review our Candidate Privacy Notice which tells you how we use and process your personal information.