Data Scientist_ NLP GenAI_ 3 to 5yrs
Fractal (company site, opens in a new tab)3–5 yrsBengaluruOn-siteDirect career pageEst. 18–32 LPA
Posted on 15 Sept
Reach people at Fractal
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Fractal you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- 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.
Minimum Requirements
- 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).
Ideal Candidate Profile
- 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.