Serve as a hands-on individual contributor with a strong emphasis on coding, platform delivery, and technical reviews.
Report to the Manager, AI & Machine Learning Engineering, and play a critical role in advancing our Models as a Service (MAAS) initiative.
Contribute to complex data science projects requiring ML engineering expertise and knowledge of medical claims and Electronic Health Records (EHR).
Leverage expertise in GenAI, ML engineering, software development, and data science to deepen understanding of current product capabilities and develop innovative solutions.
Develop, deploy, and industrialize sophisticated GenAI and machine learning solutions for healthcare, insurance and adjacent markets.
Ensure high-quality and scalable model delivery within the Models-as-a-Service (MAAS) platform.
Provide technical guidance, reviews, and mentorship to junior team members.
Collaborate closely with the data science team, MAAS product owner, AI architect, and Manager, AI & Machine Learning Engineering to drive model and feature delivery from ideation through deployment.

Requirements

7+ years of machine learning engineering, GenAI, and data science experience in one of the following industries: healthcare, insurance, clinical trials, or similar fields
Experience working with machine learning engineering and data science projects across the full life cycle from identifying customer need, to completing proof of concepts, to model building and validation, to implementation
Ability to contribute to cross-functional teams
Expert level knowledge of Python and SQL
Experience with other programming languages: R, PySpark
Ability to understand / read other programming languages: C#, Rust
Expert with cloud-based analytical solutions and distributed computing (Databricks)
Experience with converting on-premise solutions into cloud ready applications
Ability to create CI/CD workflows using Github and IaC technology (e.g. Terraform)
Experience with APIs, AWS Cloud Services and associated services (Lambda, Step Functions, AWS Batch etc..), and git
Strong programming aptitude (debugging, package design, dependency management, testing)
Understand how to build and design varying inference solutions (single and batch scoring)

Benefits

Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners.
Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges
401(k) Plan – Includes a company matching program and profit-sharing contributions
Discretionary Bonus Program – Recognizing employee contributions
Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses
Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis
Holidays – A minimum of 10 paid holidays per year
Family Building Benefits – Includes adoption and fertility assistance
Paid Parental Leave – Up to 12 weeks of paid leave for employees who meet eligibility criteria
Life Insurance & AD&D – 100% of premiums covered by Milliman
Short-Term and Long-Term Disability – Fully paid by Milliman

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learning engineeringGenAIdata sciencePythonSQLRPySparkC#RustCI/CD

Soft Skills

technical guidancementorshipcollaborationcross-functional teamwork