Job Description

Salary: $147,400 - 279,680 per year Requirements:

• Over 10 years of experience in machine learning engineering, GenAI, and data science within healthcare, insurance, clinical trials, or a related field
• Proven experience in managing machine learning and data science projects from inception to completion including identifying client needs, proof-of-concept development, model construction, validation, and deployment
• Strong collaborative skills for working in cross-functional teams
• Expertise in Python and SQL programming languages
• Familiarity with additional programming languages such as R and PySpark
• Basic understanding of other languages like C# and Rust
• In-depth knowledge of cloud analytics and distributed computing platforms, specifically Databricks
• Proven ability to transition on-premise solutions to cloud-ready applications
• Competence in creating CI/CD pipelines using GitHub and Infrastructure as Code technologies like Terraform
• Expertise in APIs and AWS Cloud Services, including Lambda, Step Functions, and AWS Batch
• Strong programming skills including debugging, package design, dependency management, and testing
• Proficiency in designing various inference solutions such as single and batch scoring

• Lead the end-to-end development and deployment of AI infrastructure and applications, ensuring flawless integration with IT and Product teams
• Collaborate closely with the Product Owner for Models as a Service, the AI architect, and various stakeholders to ensure alignment of technical and product goals
• Provide advanced technical guidance in AI/ML engineering and data science, optimizing frameworks, libraries, and tools
• Develop MLOps, LLMOps, and AIOps solutions organization-wide
• Serve as a hands-on ML Engineer driving innovative product features from concept to market
• Perform peer reviews and audits of models and code produced by team members to maintain high standards of quality and continuous improvement
• Contribute to ML engineering efforts within the Models-as-a-Service platform, ensuring efficient and scalable model delivery
• Mentor junior team members through technical guidance and support
• Work alongside the data science team and other roles to facilitate model and feature delivery from initial concept to final deployment
• Ensure the operational and technical success of model-driven products
• Actively contribute to the growth and development of MAAS and Data Science initiatives

• AI
• AWS
• Lambda
• Architect
• C#
• CI/CD
• Cloud
• Databricks
• GitHub
• Support
• Machine Learning
• Product Owner
• Python
• PySpark
• Rust
• SQL
• Terraform
• Git
• LESS
• Security

More:

At Milliman IntelliScript, we comprise a team of dedicated professionals with expertise across actuarial science, information technology, and clinical practice. We offer innovative software-as-a-service products designed for the insurance, health IT, and life sciences sectors. As part of Milliman, Inc., we pride ourselves on fostering an entrepreneurial and collaborative workplace that values innovation, excellence, and exceptional customer service. Our commitment to transparency ensures every voice is heard, and we continually challenge one another to achieve our diverse potential. Our growth trajectory provides ample opportunities for career advancement, skill enhancement, and a supportive environment where we reward excellence with competitive compensation and comprehensive benefits. This position is open to remote applicants, who may occasionally need to travel to our Brookfield, WI office for team commitments.

last updated 10 week of 2026

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