Lead Data & AI Scientist

• *End Date**

Wednesday 22 July 2026

• *We Support Flexible Working – Click here for more information on flexible working options**

• *Flexible Working Options**

Hybrid Working

• *Job Description Summary**

Leads the desigining of patterns, tooling, and templates to rapidly and efficiently deploy models into production. Scales AI/ML solutions on strategic infrastructure and integrating them into existing systems. Acts as a point of technical expertise and thought leadership, and provides line management and/or coaching to grow team capability.

• *Job Description**

Exp : 15\+ years

Location : Hyderabad

We are looking for a **hands\-on Lead Data \& AI Scientist** to drive the design, development, and scaling of AI\-powered solutions across the enterprise. This role will shape our AI/ML strategy, mentor high\-performing teams, and deliver impactful outcomes using cutting\-edge technologies like **GenAI, autonomous agents, NLP, and advanced ML** .

### **What You’ll Do**

• Lead end\-to\-end development of scalable AI/ML solutions for complex business problems
• Design and implement **GenAI systems** (RAG pipelines, autonomous agents)
• Evaluate and optimise **LLMs** (GPT, LLaMA, Claude, Mistral) for business use cases
• Collaborate with cross\-functional teams to integrate AI into products/platforms
• Drive experimentation, rapid prototyping, and continuous innovation
• Mentor data scientists and engineers, fostering a culture of excellence
• Establish best practices for **MLOps, governance, and model lifecycle management**

### **What We’re Looking For**

• Strong foundation in **Statistics, Machine Learning, and Deep Learning**
• Hands\-on experience with **GenAI frameworks** (LangChain, LangGraph, etc.)
• Expertise in **NLP** (semantic search, NER, text generation)
• Experience building and deploying **LLM\-based solutions** and fine\-tuning models
• Ability to design **autonomous AI agents** (planning, reasoning, action)
• Proven experience working with large datasets and scalable AI systems
• Exposure to **MLOps/AIOps** for production\-grade deployments