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