Senior Data Scientist - Machine Learning

<p>Sr. Data Scientist<br/><br/>Location : Gurgaon (Hybrid)<br/><br/>Must-Have : Experience with Python, SQL and ML Libraries (scikit-learn, TensorFlow, PyTorch, Hugging Face)<br/><br/>Key Responsibilities :<br/><br/>- Design, develop, and deploy scalable machine learning and NLP models for business use cases.<br/><br/></p><p>- Work with Python, SQL, and advanced ML libraries (scikit-learn, TensorFlow, PyTorch, Hugging Face) to build robust AI solutions.<br/><br/>- Develop, fine-tune, and implement LLMs (GPT, LLaMA, etc.) using frameworks like LangChain.<br/><br/>- Leverage Azure AI Foundry and Azure AI Studio for model development, deployment, and monitoring.<br/><br/>- Collaborate with data engineers, product teams, and business stakeholders to translate requirements into AI solutions.<br/><br/>- Evaluate, optimize, and monitor models for performance, scalability, and fairness.<br/><br/>- Stay updated with the latest trends in GenAI, LLMOps, and applied machine learning.<br/><br/>Required Skills & Experience :<br/><br/>- 6- 9 years of experience in data science and machine learning.<br/><br/>- Strong proficiency in Python and SQL.<br/><br/>- Deep experience with ML/DL libraries: scikit-learn, TensorFlow, PyTorch, Hugging Face.<br/><br/>- Hands-on expertise in LLMs (GPT, LLaMA, etc.) and LangChain for building generative AI solutions.<br/><br/>- Strong experience with Azure AI platforms (AI Foundry, AI Studio).<br/><br/>- Solid understanding of data structures, algorithms, and model evaluation metrics.<br/><br/>- Proven track record of delivering end-to-end ML projects in production.<br/><br/>Good to Have :<br/><br/>- Experience with MLOps, CI/CD for ML, and model governance.<br/><br/>- Knowledge of prompt engineering, RAG (Retrieval-Augmented Generation), and vector databases.<br/><br/>- Exposure to large-scale data pipelines and distributed computing</p> (ref:hirist.tech)