Data Scientist

Data Scientist - AI
Location: Gurgaon / Bangalore / Mumbai
Work Mode: Hybrid
Experience: 6+ years
Employment Type: Full-Time
About the Role
We are looking for an experienced Data Scientist - AI to join our growing AI and Analytics team. This role offers the opportunity to work on cutting-edge Artificial Intelligence initiatives, build enterprise-grade AI solutions, and deliver measurable business impact across industries.
You will work across the entire AI lifecycle, from problem definition and model development to deployment and optimization. The role provides exposure to emerging technologies including Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, Deep Learning, and Reinforcement Learning, while collaborating with global teams and clients.
Key Responsibilities
AI & Machine Learning Development
Design, develop, and deploy Machine Learning and AI solutions for complex business problems.
Build and optimize predictive models, recommendation engines, and advanced analytics solutions.
Perform exploratory data analysis, feature engineering, model development, and performance tuning.
Develop and evaluate Deep Learning models for various AI use cases.
Generative AI & Emerging Technologies
Design and develop Generative AI applications using LLMs, RAG frameworks, and AI Agents.
Implement prompt engineering techniques to improve model performance and user experience.
Evaluate and experiment with emerging AI technologies and frameworks.
Contribute to innovation initiatives involving Agentic AI and advanced AI architectures.
Deployment & MLOps
Deploy, monitor, and maintain AI/ML solutions on cloud platforms such as AWS, Azure, or GCP.
Work with APIs, Docker, Git, and MLOps best practices to build scalable AI systems.
Ensure model reliability, scalability, and performance in production environments.
Collaboration & Stakeholder Management
Partner with cross-functional teams to translate business requirements into scalable AI solutions.
Communicate technical findings and recommendations to business stakeholders.
Support knowledge-sharing initiatives and contribute to AI capability-building programs.
Required Skills & Experience
Technical Skills
Strong experience in Data Science, Machine Learning, and Artificial Intelligence.
Proficiency in Python, SQL, NumPy, Pandas, and Scikit-Learn.
Hands-on experience with TensorFlow and/or PyTorch.
Strong understanding of Machine Learning, Deep Learning, Statistics, and Predictive Modeling.
Experience working with Generative AI, LLMs, Prompt Engineering, RAG, and Agentic AI frameworks.
Exposure to cloud environments such as AWS, Azure, or GCP.
Familiarity with Docker, Git, APIs, and MLOps concepts.
Core Competencies
Strong analytical and problem-solving skills.
Ability to work independently in a fast-paced environment.
Excellent communication and stakeholder management skills.
Passion for learning and adopting new AI technologies.
Preferred Qualifications
Experience mentoring team members or leading technical initiatives.
Exposure to enterprise-scale AI implementations.
Experience in corporate training, technical workshops, content creation, or knowledge-sharing programs.
Familiarity with Reinforcement Learning and advanced AI research concepts.
What You Can Expect
Opportunity to work on advanced AI technologies including LLMs, Agentic AI, RAG, Deep Learning, and Reinforcement Learning.
Exposure to enterprise-scale AI implementations across multiple industries.
High ownership and autonomy in an innovation-driven environment.
Collaboration with experienced Data Scientists, AI Engineers, and industry experts.
Continuous learning, career growth, and access to emerging AI technologies.

Work arrangement
Hybrid