Machine Learning Engineer
Core
Design and develop AI/ML, ML Ops, and Agentic AI solutions, including LLM pipelines and vector memory systems.
Role type
Senior Machine Learning Engineer (Agentic AI & ML Ops)
Builds
Production AI/ML models, LLM-based pipelines, and agentic AI systems
Domain
Generative AI, Agentic AI, ML Ops, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, TFX, Flask, TorchServing, GCP, Vertex AI, Kubeflow, LLM orchestration, RAG architecture, GPU programming, data engineering, SQL/NoSQL databases
Preferred skills
Java, TensorRT, Google ADK, LangChain, CrewAI, Semantic Kernel, GPU profiling, hybrid search
Technologies
Python, PyTorch, TensorFlow, TFX, Flask, TorchServing, GCP, Vertex AI, Kubeflow, LangChain, CrewAI, BigQuery, PostgreSQL, Cassandra, Oracle, DB2
Responsibilities
Design and develop AI/ML and Agentic AI solutions, optimize ML models and orchestration logic, deploy AI/ML models and LLM-based pipelines, collaborate with data scientists and DevOps teams, participate in client meetings to understand requirements
Seniority
Senior, hands-on IC
