Data Scientist

• Design, develop, and deploy end-to-end AI/ML solutions - with Production support experience (Production Deployment experience)


• Build scalable and robust AI architecture, including LLM-powered


• systems and multi-agent frameworks


• Translate business requirements into actionable AI models and system designs


• Ensure performance, reliability, scalability, and cost optimization of AI solutions


• Develop and implement Generative AI solutions using Large Language Models (LLMs)


• Build Agentic AI systems, including multi-agent orchestration and autonomous workflows


• Design and implement LLM-based assistants, copilots, and conversational AI systems


• Integrate AI solutions with enterprise applications and APIs


• Hands on experience in Natural Language Processing (NLP) , Computer Vision \& Voice AI


• Build and manage ML pipelines (training, validation, deployment, monitoring)


• Ensure model explainability, fairness, and governance compliance


• Implement AI guardrails including safety, bias detection, and hallucination controls


• Ensure adherence to Responsible AI principles (security, privacy, compliance)


• Identify risks /issues and come up with solution/mitigation plans


• Collaboration with internal and stakeholders to ensure delivery as per plan with quality


• Grooming the internal Team , as senior Lead , for technical competence


• Production Experience-To ensure code development \& deployment in production

Core Technical Skills

Strong experience in:

• Machine Learning \& Deep Learning frameworks (TensorFlow, PyTorch, etc.)


• Generative AI \& LLM ecosystems (OpenAI, Hugging Face, LangChain, etc.)


• Agentic AI / Multi-agent system design

Expertise in:

• NLP, Computer Vision, and Conversational AI


• Model deployment (MLOps, APIs, cloud platforms)


• Data processing and feature engineering


• Expertise in source safing tools like Github/GitLab/Bitbucke


• Langgraph /Langchain use


• Chatbot concepts


• Text mining


• Hands-on experience with Cloud platforms (AWS / Azure / GCP)


• Experience in ML Ops tools, CI/CD pipelines, and containerization (Docker/Kubernetes)


• Strong programming skills in Python and relevant AI/ML libraries