Machine Learning Engineer - AI Products & Agentic AI

We are looking for a hands-on Machine Learning Engineer to build production-grade AI products, agentic systems, Generative AI applications, MLOps pipelines, and scalable ML solutions.

Key Responsibilities / Requirements

• Build AI products from concept through production.
• Develop agentic AI systems and multi-agent workflows.
• Build RAG pipelines, vector search, and LLM-based applications.
• Deploy ML models using Docker, Kubernetes, and cloud platforms.
• Develop CI/CD and MLOps frameworks.
• Monitor, evaluate, and optimize AI systems for performance and reliability.
• Strong proficiency in Python and SQL.
• Experience with PyTorch, TensorFlow, and Hugging Face.
• Experience with FastAPI.
• Knowledge of Azure / AWS / GCP.
• Experience with MLflow, Kubernetes, and Vector Databases.
• Hands-on experience with LangChain and LangGraph.
• Preferred: Knowledge Graphs, Model Fine-tuning, Recommendation Systems, AI Copilots, and Enterprise Generative AI Applications.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.