Lead ML/AI Platform Engineer

📋 Description

• Own the ML/AI platform: lead the architecture and operation of training infrastructure, model
• Set technical direction: define ML/AI architecture, tooling standards, and build-versus-buy
• Build production ML systems: oversee feature engineering, model training, tuning, deployment
• Drive GenAI and LLM engineering: strategies for RAG, prompt engineering, evaluation, fine-tuning
• Develop agentic capabilities: evaluate emerging agent technologies and guardrails for regulated
• Own the serving layer: design scalable ML services and API contracts with Java microservices

🎯 Requirements

• Senior engineering experience: 8+ years in software or ML, 5+ years delivering production ML
• Technical leadership: demonstrated ability to shape ML strategy and mentor engineers.
• AWS ML expertise: hands-on with SageMaker, Bedrock, AgentCore for GenAI/agentive apps.
• Open-source ML tooling: experience with JupyterLab, Spark, MLflow, and related tools.
• AWS platform knowledge: strong SQL and services like S3, Athena, Redshift, Glue, Step Functions
• GenAI/LLM expertise: production experience with RAG, prompt engineering, evaluation, trade-offs.

🎁 Benefits

• Equity compensation package.
• Flexible Time Off (FTO).
• Medical, dental, and vision coverage with premiums covered where applicable.
• Disability and life insurance.
• Learning and career development opportunities.
• Remote-work setup reimbursement.