Gen AI Lead Data Scientist

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