Sr Data Scientist

Job description

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 **Technical Sills Requirements** - 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. Area(s) of responsibility