What do we expect ?

- Define and drive the AI/ML and Generative AI strategy aligned with business goals.
- Identify opportunities to leverage GenAI, LLMs, and advanced analytics to improve products, services, and operations.
- Lead the development of AI-powered solutions including chatbots, copilots, recommendation systems, and automation tools.
- Architect and deliver scalable AI/ML and GenAI solutions across business functions.
- Design and implement LLM-based applications using frameworks such as LangChain, LlamaIndex, or similar.
- Build RAG-based systems, prompt engineering frameworks, and fine-tuning pipelines.
- Ensure production deployment using MLOps and scalable cloud platforms.
- Lead and mentor data scientists, ML engineers, and AI researchers.
- Build and scale high-performing AI/ML teams.
- Collaborate with product, engineering,



and business stakeholders.
- Work with senior leadership to translate business challenges into AI solutions.
- Present AI strategies, roadmaps, and impact to executive stakeholders.

What You Bring :

- 11 years of experience in data science, AI/ML engineering, or advanced analytics.
- 5 years of leadership experience managing AI/ML teams.

Solid expertise in :

- Machine Learning & Deep Learning.
- Generative AI and Large Language Models.
- Prompt engineering and RAG architecture.
- Proficiency in Python, TensorFlow/PyTorch, and ML frameworks.
- Experience with cloud platforms (AWS, Azure, or GCP) for AI deployments.

📌 Tiger Analytics - Principal Engineer - Generative AI (India)
🏢 Tiger Analytics
📍 India