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5-8 years of as a Data Scientist with deep expertise in GenAI, NLP/LLM technologies. The candidate should have hands-on experience ML model building as well as training and fine-tuning large language models from the ground up. This role requires a robust technical background in machine learning, deep learning, and practical experience with modern AI frameworks.

Responsibilities:

• Design, develop, and implement advanced solutions leveraging Large Language Models (LLMs).
• Take full ownership of initiatives, delivering end-to-end solutions with minimal supervision.
• Stay current with the latest advancements in Generative AI, LLMs, RAG systems, and applied research.
• Build and maintain reusable code libraries, tools, and frameworks to accelerate AI development.
• Participate in code reviews to ensure high-quality, maintainable, and scalable solutions.
• Contribute across the entire software development lifecycle—design,



implementation, testing, deployment, and maintenance.
• Collaborate with cross-functional teams to align AI solutions with business goals, integrate contributions into core systems, and influence roadmaps.
• Apply strong analytical and problem-solving skills to design efficient solutions for complex business challenges.
• Communicate effectively across technical and non-technical teams, ensuring transparency and alignment.
• Own business impact of AI solutions, including adoption, accuracy, latency, and cost efficiency
• Translate ambiguous business problems into structured AI solution approaches and measurable outcomes
• Drive solution success metrics (e.g., productivity gains, automation %, decision accuracy)
• Engage directly with business and technical stakeholders to understand requirements, present solutions, and influence decision-making
• Communicate solution architecture and trade-offs cl

📌 GenAI-Engineer (Bengaluru)
🏢 Fractal Analytics
📍 Bengaluru