Principal Machine Learning Operations Engineer
About this role
Designing scalable machine learning pipelines, governing enterprise feature stores, and optimizing low-latency inference endpoints form the core of daily operations at Definitive Healthcare. The engineering group builds next-generation infrastructure for predictive and generative artificial intelligence, requiring continuous collaboration across teams to maintain robust automated workflows.
Operating out of Framingham, Massachusetts, the incoming functional lead will architect unified ecosystems for model training and deployment while mentoring senior engineers. Ideal candidates bring extensive background in data and machine learning engineering, coupled with hands-on expertise in cloud and big data environments to scale AI capabilities effectively.
What you will do
- Design and maintain scalable machine learning and data pipelines for continuous integration and model deployment.
- Architect and govern enterprise feature stores and vector store infrastructure for low-latency retrieval applications.
- Build workflow orchestration layers to schedule and monitor complex model training dependencies.
- Establish efficient environments for model training and parameter-efficient fine-tuning.
- Optimize high-throughput model inference pipelines using advanced caching and compute distribution techniques.
- Implement real-time endpoint monitoring to track model performance, data drift, and system health metrics.
What you need
- Hold a Bachelor's or Master’s degree in Computer Science, Computer Engineering, Data Science, or a closely related quantitative field.
- Accumulate 12 or more years of professional experience in data and machine learning engineering.
- Spend a minimum of 5 years focused specifically on building and scaling MLOps platforms in production.
- Demonstrate deep production experience architecting solutions within Databricks and native AWS environments.
- Exemplify expert proficiency in Python alongside production deployment experience with TensorFlow and PyTorch.
Benefits
- Medical, dental, and vision coverage
- Unlimited paid time off
- 401(k) plan with employer contribution
- Company bonus or commission plan eligibility
Skills and tech stack
Questions candidates ask
What is the salary range for this position?
The salary range for this position is $158,000 to $294,000 per year, representing the base pay the company reasonably expects to pay. Actual pay is determined by factors such as relevant experience, skills, and qualifications.
What benefits are included with employment?
All employees are eligible for a comprehensive benefits package that includes medical, dental, and vision coverage, unlimited paid time off, and participation in the company’s 401(k) plan with an employer contribution. Depending on the position, employees may also participate in a bonus or commission plan.
What technical environments will I work with?
The role requires deep production experience architecting within Databricks and native AWS environments. Candidates must also demonstrate expert proficiency in Python along with production deployment experience using TensorFlow and PyTorch.
How should I handle communication during the hiring process?
All communications regarding the hiring process will come directly from a corporate recruiter or coordinator using an @definitivehc.com email address. The company never advertises open roles on Facebook or requests money transfers for equipment.
The application is on the official Definitive Healthcare, US careers page.
Apply on company site