Sr Data Scientist

Long Description

Job Title: Sr Data science GEN AI Lead

Location: Hyderabad (Preferred), Bengaluru (Secondary)

Experience: 8 to 10 Years

Job Summary

Key Responsibilities:

• Completely hands-on with building applications using GenAI models and frameworks
• Serve as the primary technical expert for GenAI technologies, with a focus on enhancing our GenAI footprint across our clients by developing, implementing, and optimizing advanced AI models and solutions.
• The SME will provide technical leadership, drive innovation, and ensure the successful integration of AI technologies
• Define best practices, standards, and templates for AI solutions
• Conduct workshops, demos, and client presentations on GenAI use cases
• Evaluate and integrate emerging GenAI technologies to enhance conversational AI capabilities.
• Provide technical leadership, mentorship, and guidance to teams.
• Troubleshoot and resolve complex platform integration and functionality issues.
• Proactive blueprint,PoCs and Pilots – Hands-on to independently build quick protypes and demonstrate to the key decision makers
  
  

• Hands-on experience with AI / Gen AI (Gemini, OpenAI, Anthropic, Hugging Face, etc.).
• Expertise in NLP, NLU, NLQ and NLG technologies.
• Must have Core Python expertise to build applications and engineer GenAI solutions at enterprise scale
• Must have delivered at least 1-2 production grade projects on agentic AI frameworks
• Must have hands-on experience with either of the agentic AI framework such as Google ADK or Langraph
• Experience on databases, data warehouses and data lakes on any of the cloud platform
• Deep knowledge of architecting product scale GenAI applications on GCP cloud
• Solid understanding of API integrations, backend systems, and data flows.
• Familiarity with LLMs (Large Language Models), prompt engineering, fine-tuning, and embeddings.
• Excellent problem-solving skills and solution architecture capabilities.
• Strong client-facing communication skills and ability to translate business needs into technical solutions.
• Ability to manage/run multiple projects and priorities in a fast-paced environment and competing priorities
• Experience working with cloud platforms (AWS, Azure, GCP), primarily GCP.