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