Senior Machine Learning Engineer
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The role
Line 1: Seeking a Senior Machine Learning Engineer to design and implement next-generation agentic AI platforms in collaboration with researchers, software engineers, and product teams.
Line 2: Lead end-to-end ML systems: from data pipelines and model training to inference and deployment in production-quality environments.
Line 3: Build practical LLM-based agentic workflows, tooling, planning, memory, and multi-step reasoning components.
Line 4: Apply strong software engineering fundamentals (data structures, algorithms, system design) with proficiency in Python and C++/Java.
Line 5: Deploy ML systems using Docker and cloud platforms (AWS, GCP, Azure); optimize distributed training and inference.
Line 6: Collaborate across teams, engage with customers, and thrive in a fast-paced environment with a bias to action.
Line 2: Lead end-to-end ML systems: from data pipelines and model training to inference and deployment in production-quality environments.
Line 3: Build practical LLM-based agentic workflows, tooling, planning, memory, and multi-step reasoning components.
Line 4: Apply strong software engineering fundamentals (data structures, algorithms, system design) with proficiency in Python and C++/Java.
Line 5: Deploy ML systems using Docker and cloud platforms (AWS, GCP, Azure); optimize distributed training and inference.
Line 6: Collaborate across teams, engage with customers, and thrive in a fast-paced environment with a bias to action.
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