Senior Machine Learning Engineer

📋 Description

• Architect a scalable AI/ML platform for traditional ML and GenAI.
• Design AI Agents and multi-agent environments with memory.
• Build high-throughput backends and orchestration layers.
• Lead design reviews, set engineering standards, and ensure reliability.
• Evaluate AI infra tools, embeddings, vector databases, and guardrails.

🎯 Requirements

• Senior/Lead ML Engineer with production ML platform experience.
• ML lifecycle: features, training, monitoring; GenAI patterns.
• Python mastery; React/TypeScript familiarity; backend collaboration.
• GenAI and multi-agent systems using LangGraph/LangChain/Autogen.
• MLOps and data systems: Airflow, Argo, BigQuery, Postgres.
• Docker, Kubernetes; cloud providers; CI/CD.