Data Scientist - Generative AI in Bangalore, भारत

Data Scientist with GenAI (5 - 8 Years) - BangaloreWe are looking for a highly skilled Data Scientist with Generative AI expertise to design, develop, and deploy AI-driven solutions that solve complex business challenges. The role involves working on Machine Learning models, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Prompt Engineering, and cloud-based AI services while collaborating with cross-functional teams to deliver impactful https://jobeax.com/link/kJqNDgLAO0HwY2u0 :Bengaluru (Hybrid)Your Future Employer :A leading analytics and AI-driven organization enabling enterprises to leverage advanced data science, machine learning, and Generative AI solutions for business https://jobeax.com/link/YL6tw2G0ApPvLUe6 :- Develop, implement, and deploy Machine Learning and Generative AI solutions across business functions.- Analyze large datasets, derive actionable insights, and build scalable analytical workflows.- Design and implement AI-powered applications using LLMs, RAG frameworks, AI Agents, and Prompt Engineering techniques.- Collaborate with stakeholders to understand business requirements and translate them into data-driven solutions.- Mentor junior team members and contribute to organizational initiatives, innovation programs, and knowledge-sharing https://jobeax.com/link/NWRTOHArny83GSG0 :- 5 to 8 years of experience in Data Science, Machine Learning, and Analytics.- Strong proficiency in Python, SQL, Statistics, and Machine Learning algorithms.- Hands-on experience with Generative AI technologies including LLMs, RAG, AI Agents, and Prompt Engineering.- Exposure to cloud platforms such as Azure, AWS, or GCP.- Strong communication, problem-solving, stakeholder management, and presentation https://jobeax.com/link/DkPro09N04CD2GIL is in it for You :- Opportunity to work on cutting-edge Generative AI and Machine Learning projects.- Exposure to enterprise-scale AI transformation initiatives.- Collaborative and innovation-driven work environment.- Continuous learning and professional development opportunities.- Hybrid work model with high-impact responsibilities. (ref:hirist.tech)