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:
1.    Completely hands-on with building applications using GenAI models and frameworks
2.    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.
3.    The SME will provide technical leadership, drive innovation, and ensure the successful integration of AI technologies
4.    Define best practices, standards, and templates for AI solutions 
5.    Conduct workshops, demos, and client presentations on GenAI use cases
6.    Evaluate and integrate emerging GenAI technologies to enhance conversational AI capabilities. 
7.    Provide technical leadership, mentorship, and guidance to teams. 
8.    Troubleshoot and resolve complex platform integration and functionality issues. 
9.    Proactive blueprint,PoCs and Pilots – Hands-on to independently build quick protypes and demonstrate to the key decision makers

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

Area(s) of responsibility