Senior Data Scientist – AI/ML & Generative AI

Job Summary We are looking for a highly experienced Data Scientist to design, develop, and deploy AI/ML and Generative AI solutions for enterprise applications. The ideal candidate should possess expertise in Machine Learning, Deep Learning, Natural Language Processing (NLP), Large Language Models (LLMs), AI Agents, and cloud-native AI deployment. Key Responsibilities AI/ML Development Design and implement Machine Learning and Deep Learning models. Develop scalable AI-powered enterprise applications. Build predictive, classification, recommendation, and forecasting models. Work on Computer Vision, NLP, Speech Recognition, and Personalization use cases. Generative AI Develop LLM-based applications. Build AI Agents using LangChain/LlamaIndex. Implement Retrieval-Augmented Generation (RAG). Fine-tune foundation models. Prompt Engineering. Data Science Data preprocessing and feature engineering. Statistical modelling. Model evaluation and optimization. Experiment tracking. MLOps Deploy ML models using Docker and Kubernetes. Build CI/CD pipelines for ML. Model monitoring and observability. MLflow and Airflow integration. Research & Innovation Evaluate emerging AI research. Prototype new AI solutions. Mentor junior team members. Participate in architecture discussions. Mandatory Skills Python Machine Learning Deep Learning NLP Generative AI LLM LangChain Prompt Engineering RAG TensorFlow PyTorch Scikit-learn Pandas NumPy SQL Docker Kubernetes MLflow Airflow Git REST APIs Good-to-Have Skills Hugging Face LlamaIndex FAISS Pinecone ChromaDB OpenAI APIs Claude APIs AWS SageMaker Vertex AI Azure OpenAI Spark Kafka ElasticSearch Grafana Prometheus Show more