Name of the position: Senior Data Scientist
Location: Coimbatore/ Chennai/ Bangalore
No. of resources needed: 01
Mode: Contract to Hire
Years of experience: 8+ Years
Shift: UK shift (2pm to 11pm)
We are seeking an experienced Senior Data Scientist to lead the design, development, and deployment of advanced AI-driven analytical and machine learning solutions. The ideal candidate is a strategic thinker with deep technical expertise in ML, Generative AI, and Agentic AI, capable of turning complex data into actionable insights that drive business innovation and growth.
Lead the end-to-end development of predictive, prescriptive, and generative models using advanced machine learning and statistical techniques.
Design and implement GenAI and Agent AI solutions for automation, intelligent decision-making, and enhanced user interaction.
Collaborate with cross-functional teams to identify opportunities where AI and data science can deliver measurable business impact.
Build and optimize data pipelines, model training workflows, and MLOps processes for scalable AI and ML deployment.
Conduct feature engineering, model validation, and fine-tuning to ensure accuracy, fairness, and reliability of models.
Mentor and guide junior data scientists on AI/ML best practices, LLM fine-tuning, and experimentation frameworks.
Present analytical findings and AI-driven insights to senior management in a clear and business-oriented manner.
Stay updated with the latest trends in AI, LLMs, Generative AI, Agentic AI, and deep learning to drive continuous innovation.
8+ years of experience in Data Science, Machine Learning, or AI-focused roles.
Strong expertise in Python, R, or Scala, with hands-on experience using ML and AI frameworks (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost).
Proven experience in developing or fine-tuning LLMs (e.g., GPT, Claude, Gemini) and working with GenAI frameworks (e.g., LangChain, Hugging Face).
Understanding of Agentic AI concepts such as autonomous agents, multi-agent systems, or AI orchestration using frameworks like LangGraph or AutoGen.
Proficiency in SQL and familiarity with big data platforms (e.g., Spark, Databricks, Hadoop).
Experience in cloud AI environments (AWS Sagemaker, Azure AI, or GCP Vertex AI).
Strong grasp of statistical modeling, NLP, time series forecasting, and deep learning.
Experience with MLOps tools (MLflow, Kubeflow, or SageMaker Pipelines).
Excellent problem-solving, communication, and stakeholder engagement skills.