Senior AI & Machine Learning Engineer - IntelliScript (Remote)

Milliman is a respected consultancy with a focus on providing data-driven SaaS products for the insurance and healthcare sectors. The Senior AI & Machine Learning Engineer will play a critical role in advancing the company's Models as a Service initiative by developing, deploying, and industrializing sophisticated GenAI and machine learning solutions.

Responsibilities:

• ML engineering efforts within the Models-as-a-Service (MAAS) platform, ensuring high-quality and scalable model delivery
• Providing technical guidance, reviews, and mentorship to junior team members
• Collaborating 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
• Ensuring the success of model-driven products across both technical and operational dimensions
• Hands-on technical contribution to support the growth of MAAS and/or data science initiatives
• Lead end-to-end development, deployment, and maintenance of AI infrastructure and applications, from proof-of-concept to production and ongoing maintenance, 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
• Development of 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 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)
• Excellent communication skills, in person and through phone / email
• Ability to understand and translate technical specs or model results in communication with clients and IntelliScript Lead management
• Proven ability to understand client analytical needs, translate them into an action plan, then execute and deliver
• Customer-centric approach to finding solutions
• Focused on results and able to explain findings in a way that answers business problems
• Constructive, “can do” approach to overcoming obstacles
• Can quickly learn new techniques and technologies
• Proactive in identifying process improvements
• Strong work ethic, willing to pitch in wherever needed
• Ability to manage projects and timelines, including directing the work of others
• 7+ years experience in Machine Learning Engineering, Data Engineering, or Software Engineering
• 7+ years experience in Data Science or a supportive role
• Degree in a relevant field (computer science, data science, statistics, mathematics, applied math, actuarial science, economics, etc.)
• Experience working in a HIPAA / PHI / PCI compliant environment