Senior Machine Learning Engineer

📋 Description

• Design and build scalable ML/AI infra (feature stores, model serving, streaming)
• Build and maintain data pipelines for structured and unstructured data (claims, EHR, logs)
• Ensure data quality, lineage, and reliability across the platform
• Ensure compliance and security for healthcare and fintech data
• Empower teams to access data and turn into insights with agentic analytics
• Prototype and productionize ML models for anomaly detection and predictive tasks

🎯 Requirements

• 4+ years in ML and data engineering
• Strong background in reinforcement learning ML frameworks
• Hands-on with multi-agent systems, evaluation, observability
• Proven production ML deployment at scale (billions in volume)
• MLOps: versioning, monitoring, retraining pipelines
• LLMOps tooling: prompts, evaluation, RAG, vector databases
• Data pipelines and distributed systems on AWS/GCP/Azure; Airflow, Spark, dbt
• Healthcare/fintech or regulated experience a plus (privacy/compliance)

🎁 Benefits

• Equity ownership
• Competitive salary
• Health care coverage
• 401K match
• Hybrid work policy (office 4 days/wk, WFH Wednesdays)