Senior AI & Machine Learning Engineer - IntelliScript (Remote)Milliman IntelliScript • United States
Senior AI & Machine Learning Engineer - IntelliScript (Remote)
Milliman IntelliScript
- United States
- United States
Über
What This Position Entails IntelliScript is a practice within Milliman that provides health and life insurers with real‑time data and underwriting decision support tools via SaaS. This role will serve as a hands‑on individual contributor focused on coding, platform delivery, and technical reviews, reporting to the Manager, AI & Machine Learning Engineering, and playing a critical role in advancing our Models as a Service (MAAS) initiative.
Key Responsibilities Include
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
What You Will Be Doing
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
What We Need
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)
What You Bring To The Table
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
Wish List
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
Location The expected application deadline for this job is April 30, 2026. This position is open to remote work. Applicants must be willing to travel to the Milliman office in Brookfield, WI as needed and travel nationwide for meetings, conferences, and team events.
Compensation The overall salary range for this role is $117,500 - $222,985.
For Candidates Residing In
Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia the salary range is $135,125 - $222,985.
All other locations the salary range is $117,500 - $193,900.
Milliman 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
Equal Opportunity All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.
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Sprachkenntnisse
- English
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