Lead ML/AI Platform Engineer

📋 Description

• Own the ML/AI platform: Lead the architecture and operation of training infrastructure, model
• Set technical direction: Partner with the Data Platform Architect to define ML/AI architecture
• Build production ML systems: Oversee feature engineering, model training, tuning, registration
• Drive GenAI and LLM engineering: Develop strategies for RAG, prompt engineering, evaluation
• Develop agentic capabilities: Evaluate emerging agent technologies and workflow patterns, including
• Own the serving layer: Design scalable ML services and API contracts with Java microservices

🎯 Requirements

• Senior engineering experience: 8+ years in software or ML engineering, with 5+ years delivering
• Technical leadership: Experience shaping ML strategy, mentoring engineers, and guiding
• AWS ML expertise: Hands-on with SageMaker for training, tuning, hosted endpoints, and model
• Open-source ML tooling: JupyterLab, Spark, MLflow, and related tools.
• AWS platform knowledge: S3, Athena, Redshift, Glue, Step Functions, Lambda; strong SQL skills.
• GenAI/LLM expertise: Production experience with RAG, prompt engineering, evaluation, and trade-offs

🎁 Benefits

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