Data Scientist with GenAI (5 - 8 Years) - Bangalore

We 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 outcomes.

Location :

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 transformation.

Responsibilities :

- 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 activities.

Requirements :

- 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 skills.

What 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.