AI Associate – MD Office (Special AI Projects)

Sun Pharma is hiring for AI Associate – MD Office (Special AI Projects) About The Company: Sun Pharma is a leading global specialty generic company, with global revenue of US$ 6.2 billion. Supported by 41 manufacturing facilities, we provide high-quality medicines, trusted by healthcare professionals and patients, to more than 100 countries across the globe. With 1,000 Sun Pharma medicines prescribed every minute, we are driven by a commitment to innovation, improved access, and patient care. For more information: Click Here About the Role We are looking for exceptional, builder-oriented AI Associate to work directly with the MD Office on high-impact, real-world AI initiatives. This role goes beyond experimentation - you will design and deploy production-ready AI systems, copilots, and agentic workflows solving critical business problems across functions. Ideal candidates are those who have already built end-to-end AI/ML systems, experimented with LLMs, or implemented real pipelines (not just coursework models). What You'll Do Design AI-first solutions for pre-defined high impact projects Build end-to-end AI systems, not just models: Data pipelines → Model → API → Deployment Develop LLM-powered applications, including: RAG pipelines (retrieval + grounding) AI copilots and internal assistants Multi-step agent workflows Design and implement agentic systems with tools, memory, and reasoning loops Build automation workflows across business tools (APIs, dashboards, reporting) Optimize systems for: Accuracy, latency, scalability, and real-world usability Work closely with leadership to rapidly prototype → test → iterate → deploy What We're Looking For Builder mindset: you've shipped real working projects Strong problem solver: ability to translate ambiguous problems into systems High ownership: comfortable working in unstructured environments Curiosity-driven: actively experimenting with latest AI tools & frameworks Eligibility Bachelor's or Master's degree (Tier 1 or 1.5 engineering colleges preferred from batches of 2022-2024) in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field. Candidates with 2-4 years of overall experience. 0-3 years of experience in AI/ML, Data Science (preferred) Technical Skills Required Strong Python proficiency Solid understanding of: Data Structures & Algorithms Probability & Statistics Machine Learning fundamentals Hands-on experience with: NumPy, Pandas, Scikit-learn Experience building end-to-end ML/AI projects Strongly Preferred Experience with LLMs & Generative AI systems Working knowledge of: RAG architectures, embeddings, vector search Agent frameworks (LangChain, LangGraph, AutoGen, CrewAI, etc.) Experience with: PyTorch / TensorFlow NLP / Deep Learning / Transformers Backend/API development: FastAPI / Flask REST APIs Exposure to: Databases (SQL / NoSQL) Vector DBs (ChromaDB, FAISS, etc.) Understanding of: Prompt engineering Model evaluation & hallucination reduction Familiarity with: Docker / cloud deployment (GCP/AWS/Azure) Bonus Experience with: Agentic workflows / autonomous systems Real-world production deployments Strong projects such as: AI copilots / automation platforms Recommendation systems / optimization engines NLP or computer vision systems Competitive achievements: Coding contests (eg. Leetcode), Kaggle, research work Demonstrated ability to optimize performance (latency, accuracy, ROI) Who Will Excel in This Role Built LLM + RAG + agent systems, not just used ChatGPT Have implemented complete ML pipelines with metrics & evaluation Understand systems design, not just models Can combine engineering + AI + problem-solving What You'll Gain Direct exposure to MD-level strategic AI initiatives Opportunity to deploy real AI solutions in business workflows Work on cutting-edge applied AI (LLMs, agents, automation) High ownership and visibility