Lead Machine Learning Engineer
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Job description
Location:
Date: 18 September 2026
- Deliver best-in-industry modelsfor detection of subrogation opportunities using the latest ML advancements andbest software engineering practices
- Meet and collaborate withbusiness stakeholders (customers, sales and product managers) to drive thedevelopment of new models and features based on
- Collaborate with data engineeringand software engineering team to ensure a smooth flow of data across teams andAPIs related to outbound subrogation
- Mentor junior ML engineers in theoutbound subro team to form a high-performing team
- Deep understanding of MLlifecycle: development, evaluation, deployment, monitoring, and iteration
- Excellent communication skills;ability to explain complex technical concepts to non- technical stakeholders
- Hands-on experience in experimentdesign and model valuation
- Expertise with ML system design,model deployment, and production ML systems
- Experience in engineeringproduction-grade GenAI features with robust validation, sanity checks, andstructured outputs to mitigate hallucination and business risk
- Proficiency with AWS stackrelated to ML (e.g. Sagemaker, Lambda, Stepfunctions, IAM)
- Strong software engineeringfundamentals and best practices (CICD, Test-Driven Development, Infrastructureas Code)
- Experience translating businessobjectives into technical roadmaps and deliverables
- Ability to balance technicalexcellence with business priorities and timelines
- Strong stakeholder management andcross-functional collaboration skills
- Experience in subrogation, claimsprocessing, insurance or financial technology
- Upper-Intermediate
Details
Originally posted on Himalayas
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