AI/ML Engineer

Role Overview: " We are looking for a Senior AI/ML Engineer with strong hands-on experience across Machine Learning, Deep Learning, MLOps, Generative AI, and Agentic AI. " The candidate will be responsible for designing, developing, deploying, and scaling AI solutions for enterprise use cases.

Key Responsibilities: " Design and develop end-to-end Machine Learning and Deep Learning solutions. " Build and productionize ML models using appropriate algorithms and frameworks. " Develop and manage MLOps pipelines covering model training, deployment, monitoring, and lifecycle management. " Build Generative AI applications using LLMs, prompt engineering, embeddings, RAG, and vector databases. " Design and implement Agentic AI solutions, including AI agents, tool calling, multi-agent workflows, and orchestration. " Integrate AI solutions with enterprise APIs, databases, applications, and knowledge sources. " Deploy scalable AI solutions on AWS, Azure, or GCP. " Implement AI application monitoring, evaluation, observability, security, and responsible AI practices. " Collaborate with product, engineering, data, and business teams to translate business problems into AI solutions. " Mentor junior engineers and contribute to AI architecture and technology strategy. Core Technical Skills "Programming: Python, SQL "Machine Learning: Scikit-learn, XGBoost/LightGBM "Deep Learning: PyTorch / TensorFlow "GenAI: LLMs, Prompt Engineering, Embeddings, RAG "Agentic AI: LangGraph, LangChain or equivalent frameworks "Vector Search: OpenSearch, FAISS, Pinecone or equivalent "MLOps: MLflow, Docker, CI/CD, model deployment & monitoring "Cloud: AWS / Azure / GCP " APIs & Engineering: REST APIs, FastAPI, Git, containerization