AI/ML Engineer

Location: Hyderabad, India; Indore, India; Mumbai, India; ., India

Department: Engineering

Experience: 5+

• Design, train, evaluate and deploy ML and deep learning models for real business problems.
• Build Generative AI applications using LLMs, including RAG pipelines, AI agents, prompt engineering and fine-tuning.
• Work with frameworks such as LangChain, LlamaIndex and vector databases (Pinecone, FAISS, Weaviate, pgvector).
• Develop data preprocessing, feature engineering and model training pipelines.
• Deploy models as scalable APIs and services; set up MLOps practices for versioning, monitoring and retraining.
• Evaluate model performance, accuracy, latency and cost, and optimise accordingly.
• Work with product, data and engineering teams to take AI features from proof of concept to production.

• 5+ years in ML/AI engineering or data science with production deployments.
• Strong Python with scikit-learn, PyTorch or TensorFlow.
• Hands-on experience with LLMs (OpenAI, Anthropic Claude, Llama, Mistral) and RAG architectures.
• Experience with NLP, computer vision or predictive modelling.
• MLOps tools such as MLflow, Kubeflow, SageMaker, Azure ML or Vertex AI.
• Experience with Docker, APIs (FastAPI/Flask) and cloud platforms.

• Model fine-tuning (LoRA/PEFT) and LLM evaluation frameworks.
• Agentic AI frameworks (LangGraph, CrewAI, AutoGen) and MCP.
• Experience with Spark or Databricks for large-scale data.
• Publications, Kaggle work or open-source contributions.