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Mid-level GenAI data scientist in Bangalore at a well-known employer attracts many qualified applicants.
Highly specialized GenAI and LLM requirements favor ML/AI backgrounds and limit cross-domain transferability.
Explicit 3-5 years plus mandatory LLM, finetuning, RLHF, cloud, and tooling skills raise shortlisting rigor.
Design and implement advanced Large Language Model (LLM) based solutions end-to-end, including research, development, deployment, and maintenance.
Develop and maintain code libraries, tools, and frameworks supporting generative AI and LLM development using NLP, computer vision, and audio modalities.
Collaborate closely with cross-functional teams to integrate software into core systems and contribute to product roadmaps, ensuring code quality through reviews.
3 to 5 years of relevant work experience in data science focusing on NLP and generative AI.
Bachelor's or Master's degree in Computer Science or related technical field (B.E/B.Tech/M.Tech) or equivalent.
Strong hands-on experience with NLP tasks such as classification, topic modeling, Q&A, chatbots, document AI, summarization, and content generation.
Proficiency with cloud platforms (Azure, AWS, GCP), Python, Docker, FastAPI/Django/Flask, Git, and familiarity with LLM frameworks and SaaS services (Lang chain, llama index, Azure OpenAI, Google Vertex AI).
Experienced in end-to-end generative AI solution lifecycle including research, development, deployment, and maintenance in a production environment.
Technically versatile with expertise across NLP, generative AI techniques (like prompt engineering, finetuning), and cloud integrations.
Capable of collaborating across teams to align product goals and maintain high-quality code standards in complex AI software projects.