Senior Data Scientist Associate

Senior Data Scientist

About the Role

As an Senior Data Scientist, you will become part of a cross-functional engineering team building next-generation AI-powered products and solutions. You will be responsible for designing, developing, and deploying scalable GenAI and Agentic AI systems that solve real-world business challenges. This role requires strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent architectures, and cloud-native AI solutions.

Responsibilities

• Design, develop, and deploy production-grade AI/ML solutions with a focus on Generative AI and Agentic AI.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, and modern retrieval techniques.
• Develop intelligent agentic workflows and multi-agent systems capable of autonomous reasoning, planning, and task execution.
• Architect scalable AI platforms and system designs that support enterprise-grade applications.
• Integrate Large Language Models (LLMs) into business workflows and customer-facing products.
• Utilize frameworks such as LangChain and related orchestration tools to build AI applications.
• Collaborate with product managers, architects, and engineering teams to translate business requirements into technical solutions.
• Deploy and monitor AI solutions on cloud platforms while ensuring scalability, reliability, and performance.
• Drive engineering best practices, code quality, and technical excellence across AI initiatives.
• Mentor engineers and contribute to technical strategy, architecture reviews, and innovation initiatives.

Requirements

• 6to 9 years of experience in Data Science, Machine Learning, or AI Engineering, building real-world products and solutions.
• Strong experience in designing and implementing Generative AI solutions in production environments.
• Hands-on expertise with:
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• LangChain
• Agentic AI frameworks and workflows
• Multi-agent system development
• Experience in system design, solution architecture, and scalable AI application development.
• Strong programming skills in Python and AI/ML development ecosystems.
• Experience with cloud platforms such as AWS and/or Azure.
• Understanding of model deployment, monitoring, evaluation, and MLOps practices.
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.

Nice to Have

• Backend engineering experience building RESTful APIs and microservices.
• Hands-on experience with FastAPI.
• Experience with DevOps practices, CI/CD pipelines, containerization, and cloud deployments.
• Exposure to Kubernetes, Docker, and Infrastructure-as-Code (IaC).
• Experience working with vector databases and AI observability frameworks.

Whats in It for You

• Work on cutting-edge GenAI and Agentic AI initiatives.
• Collaborate with global teams and AI experts.
• Influence technical strategy and architecture decisions.
• Build innovative solutions that impact real-world business outcomes.
• Access continuous learning and professional growth opportunities.