Machine Learning Ops Engineer deploying and optimizing ML models at Affinity Water. Collaborating with teams to enhance the reliability of analytics solutions.
About the role
- Senior AI/ML Engineer developing AI-driven solutions for smarter risk detection in the B2B Insurance world. Designing, developing, and deploying next-generation AI systems for underwriting risk analysis.
Responsibilities
- Architect AI systems that combine ML algorithms, LLMs, and orchestrated agents.
- Collaborate closely with the Chief Science Officer, applied ML engineers, data engineers, PMs & Ops to transition prototypes to production.
- Actively contribute to architectural decisions that ensure compliance, reliability, and scalability.
- Stay actively informed about emerging technologies, frameworks, and methodologies in AI and ML.
Requirements
- 5–8 years of experience as an ML Engineer, AI Engineer, or similar role.
- Strong production-level Python skills (FastAPI, asyncio, testing, clean code structure).
- Experience with PyTorch / Hugging Face Transformers.
- Proven track record deploying ML models to production (fine-tuning, optimization, scaling).
- Solid understanding of RAG, embeddings, and LLM APIs.
- Strong MLOps culture (CI/CD, observability, Docker, AWS).
Benefits
- Flexibility
- Work life balance
- Learning & Development
- Career growth
- Health & Wellness
- Transportation & hotel costs
- Meals
- Home office setup
- Time-off
- Inclusion
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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