Roles and Responsibilities Lead the design and implementation of generative AI solutions, leveraging NLP, text analytics, sentiment analysis, transformer models, gen-AI, LLM, and vector databases to drive innovation and business impact. Provide strategic guidance and mentorship to the team, fostering a culture of continuous learning and professional development in AI technologies. Collaborate with cross-functional teams to identify and prioritize AI opportunities, aligning with business objectives and operational needs. Develop and execute gen-AI roadmaps, ensuring the successful delivery of gen-AI projects/solutions from ideation to deployment. Stay abreast of the latest advancements in gen-AI and data science, evaluating emerging technologies and best practices to enhance our AI capabilities. Partner with stakeholders to understand their requirements and translate them into scalable gen-AI solutions, driving tangible value for the organization. Lead and contribute to AI research initiatives, publishing findings and representing the organization in industry forums and events. Oversee the design and optimization of gen-AI algorithms, models, and frameworks, ensuring robustness, efficiency, and accuracy. Champion the adoption of AI ethics and governance principles, embedding responsible AI practices into our solutions and processes. Cultivate a collaborative and inclusive work environment, promoting knowledge sharing and cross-team collaboration to achieve AI excellence. Experience & Education: 10-12 years of experience in NLP and text analytics for solving business problems in various industries. Should have demonstrated at least 3 years of experience in developing and deploying transformer/generative/LLM models at the enterprise level                                                             BE or BTech or post-graduation/PhD in any quantitative field. Certification Required

Relevant certifications in gen-AI and NLP domains are a plus.

Behavioural Skills Exceptional leadership and communication skills, with the ability to inspire and influence teams. Strong analytical and problem-solving abilities, coupled with a strategic mindset for AI implementation. Demonstrated thought leadership in AI, evidenced by publications, patents, or industry recognition. Technical Skills Natural Language Processing (NLP) Text Analytics Sentiment Analysis Transformer Models Generative AI (Gen-AI) models Large Language Models (LLM) Vector Databases LLM Frameworks such as Ollama, Langchain and Llama index etc.  RAG and model training of LLM models. Agentic frameworks

  Non-Negotiable Skills Expertise in NLP and text analytics Generative AI and LLM models Python programming Any cloud experience such as GCP, AWS or Azure, sentiment analysis, transformer models, gen AI, LLM, and vector databases