Machine Learning Engineer

Currently looking for a ML Engineer

A hands-on role bridging AI research and production. You will design agentic workflows and LLM architectures while building the MLOps "factory" to ensure models are scalable, secure, and monitorable.

Core Responsibilities

• AI Design: Build autonomous agents using LangGraph or CrewAI and implement GraphRAG/Agentic RAG pipelines.
• Model Tuning: Fine-tune LLMs using LoRA/QLoRA and optimize inference with vLLM or Quantization.
• Data Engineering: Manage Vector DBs (Pinecone, Milvus) and architect ETL/ELT pipelines via Airflow or AWS.
• MLOps & DevOps: Deploy via Docker/Kubernetes using CI/CD (GitHub Actions, ArgoCD).
• Lifecycle & Safety: Track drift with W&B or MLflow and ensure Responsible AI (bias detection, red teaming).

Technical Profile

• Languages: Python (Expert), SQL, and Bash.
• Frameworks: PyTorch, Transformers, LlamaIndex, and LangChain.
• Infrastructure: Kubernetes, Helm, and Cloud (AWS/GCP/Azure)
• Key Skills: RAG optimization, Multi-agent orchestration, and TDD