Senior Data Scientist

About the Role

- Design, develop, and deploy end-to-end data science and AI solutions using classical ML, deep learning, and LLM-based architectures. - Apply statistical modeling, hypothesis testing, optimization, and applied mathematics to solve complex business and engineering problems. - Evaluate, fine-tune, and operationalize state-of-the-art LLMs across multiple platforms. - Implement AI Agents using Agent-to-Agent (A2A) communication patterns. - Collaborate with business stakeholders to translate domain challenges into AI-driven solutions. - Build scalable, reliable, and observable ML pipelines including training, validation, deployment, and monitoring.

Key Skills Required

• AI Agents / Agentic AI, MCP, A2A, RAG, Prompt Engineering, LLM Fine-tuning, LLM Evaluation, Deep Learning, PyTorch, TensorFlow, Scikit-learn, LangChain, MLOps, Azure AI, Microsoft Fabric, Microsoft Copilot, Vertex AI, Dataiku, Model Deployment, Model Monitoring, Statistical Modelling, Time Series, Optimization, Oil & Gas / Energy, Industrial Analytics, Predictive Maintenance.

Qualification

B.E