Role Overview

The Data Scientist will be responsible for designing, developing, deploying, and maintaining AI/ML models and advanced analytical solutions that drive business value. This role requires hands-on ownership of end-to-end model development, close collaboration with cross-functional stakeholders, and active contribution to innovation and product evolution within the AI ecosystem.

Key Responsibilities

- Design, develop, deploy, and maintain scalable AI/ML models and data-driven products.
- Lead and contribute to R&D initiatives for AI-driven features and enhancements.
- Collaborate with domain experts, product managers, and end users for model refinement.
- Analyze large datasets to deliver actionable insights.
- Build and maintain APIs for model serving and integration.
- Ensure best practices in model lifecycle management.
- Mentor junior team members and contribute to knowledge sharing.
- Stay current with emerging AI technologies.

Essential Skills

- Strong proficiency in Python and SQL.
- Hands-on experience with Machine Learning model development and deployment.
- Understanding of statistical modeling and evaluation techniques.
- Knowledge of NLP and Generative AI frameworks.
- Experience in Python API development (FastAPI preferred).
- Strong computer science fundamentals.
- Excellent problem-solving and communication skills.

Good-to-Have Skills

- Experience with LangChain, LangGraph, or Agentic AI frameworks.
- Understanding of AI orchestration tools and workflows.
- Knowledge or hands-on experience in MCP (Model Context Protocol) server development.
- Experience working in enterprise-scale AI environments.

Education Requirements

Bachelor’s or Master’s degree (B.E./B.Tech./M.Tech.) in Computer Science, Information Technology, or related fields.

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.