Senior AI & Machine Learning Engineer - Remote

About the Role

We are seeking a Senior AI & Machine Learning Engineer to join our dynamic team at Milliman IntelliScript. This remote position offers a unique opportunity to work with a group of experts in the fields of actuarial science, information technology, and clinical practice. As a Senior AI & Machine Learning Engineer, you will play a critical role in advancing our Models as a Service (MAAS) initiative, helping to modernize our AI and machine learning model delivery platform.

What You'll Do

• Lead end-to-end development, deployment, and maintenance of AI infrastructure and applications, ensuring seamless integration with IT, Product, and other departments.
• Collaborate closely with the Product Owner for Models as a Service, the AI architect, and other stakeholders to align technical and product objectives.
• Provide technical proficiency in AI/ML engineering and data science, including selection and optimization of frameworks, libraries, and tools.
• Develop MLOps, LLMOps, and AIOps solutions across the organization.
• Serve as a ML Engineer with deep expertise in driving innovative product features from concept to commercial reality.
• Peer review, audit, and enhance models and code developed by team members to ensure high standards and continual improvement.

Requirements

• 7+ years of machine learning engineering, GenAI, and data science experience in healthcare, insurance, clinical trials, or similar fields.
• Expert level knowledge of Python and SQL, with experience in R and PySpark.
• Strong programming aptitude, including debugging, package design, dependency management, and testing.
• Experience with cloud-based analytical solutions and distributed computing (Databricks).
• Ability to create CI/CD workflows using GitHub and IaC technology (e.g., Terraform).
• Proven ability to understand client analytical needs and translate them into actionable plans.

Nice to Have

• Experience working in a HIPAA / PHI / PCI compliant environment.
• 7+ years experience in Machine Learning Engineering, Data Engineering, or Software Engineering.
• Degree in a relevant field (computer science, data science, statistics, mathematics, applied math, actuarial science, economics, etc.).

What We Offer

• Comprehensive benefits package including medical, dental, and vision coverage for employees and dependents.
• 401(k) Plan with company matching and profit-sharing contributions.
• Paid Time Off (PTO) starting at 15 days per year, accruing from the first day of work.
• Flexible Spending Accounts (FSA) for pre-tax savings on eligible expenses.
• Discretionary Bonus Program recognizing employee contributions.
• Paid Parental Leave of up to 12 weeks for eligible employees.