Machine Learning Engineer
Core
Engineering robust data pipelines, model management lifecycles, and foundational platform-level AI integrations to orchestrate advanced agentic workflows and autonomous AI-driven systems.
Role type
Senior IC MLOps engineer (LLM & Agentic Systems)
Builds
Production-grade agentic workflows, LLM applications, and RAG systems
Domain
AI/ML Platform Engineering, Large Language Models, Agentic Workflows
Deliverable
production ML models
Required skills
Python, Docker, Kubernetes, CI/CD pipelines, MLOps tools (MLflow), LLMs, RAG systems, data preprocessing, feature engineering, GPU architecture
Preferred skills
Agentic workflows, LLM orchestration frameworks, reasoning patterns
Technologies
Python, Docker, Kubernetes, MLflow, GitLab, Jenkins, LLMs, RAG
Responsibilities
Implement end-to-end ML pipelines from ingestion to serving; Operationalize LLMs and multi-agent systems; Manage model lifecycle (experimentation, registry, deployment); Oversee model promotion and validation gates; Containerize applications; Build CI/CD pipelines for ML/LLM apps; Design production-grade RAG systems.
Seniority
Senior, hands-on IC