Data Scientist - Machine Learning and Generative AI

Job Requirements*

• 5+ years of experience in Data Science / Machine Learning. 
• Strong programming proficiency in Python with ML ecosystem libraries (NumPy, pandas, scikit-learn, PyTorch or TensorFlow). 
• Hands-on experience building production-grade ML models and deploying them into scalable environments.
• Good understanding of statistical learning concepts and model interpretability. 
• Exposure to Generative AI systems, LLM APIs, prompt engineering, or RAG architectures. 
• Familiarity with agent-based AI frameworks and workflow orchestration concepts. 
• Ability to work in fast-paced environments and collaborate across analytics, engineering, and business teams.

Key Responsibilities*

• Build and deploy machine learning models for prediction, recommendation, and optimization use cases. 
• Design end-to-end ML pipelines including feature engineering, model training, validation, and monitoring. 
• Develop Generative AI solutions using LLMs for insight generation, conversational interfaces, and automation. 
• Implement RAG pipelines using vector stores and semantic retrieval. 
• Design agentic workflows where AI systems autonomously reason, plan, and use tools. 
• Collaborate with product and engineering teams to translate business problems into scalable AI solutions. 
• Monitor model performance and drive continual improvement.