Support, enhance, troubleshoot, and maintain production AI and Generative AI applications. Responsibilities include customer onboarding, defect resolution, machine learning and GenAI validation, release management, monitoring, automation, AI governance, compliance documentation, reporting, and stakeholder communication. The role requires hands-on experience with Python, LLMs, LangChain, LangGraph, Agentic AI, RAG, orchestration frameworks, machine learning, SQL, and production AI operations.
About the Role:
As a Data Scientist - AI Operations, you will play a key role in supporting, enhancing, and maintaining production AI and GenAI applications. You will work across the application lifecycle, including customer onboarding, model enhancement, defect resolution, release management, compliance support, and operational excellence. This role is ideal for someone with strong data science fundamentals and hands-on experience with modern Generative AI technologies who enjoys working directly with business stakeholders and customers.
Responsibilities:
• Enhance, maintain, and troubleshoot existing AI and GenAI applications.
• Analyze, prioritize, and resolve production issues, defects, and performance concerns.
• Support onboarding and implementation of new clients on existing AI platforms.
• Assist in developing, testing, and validating machine learning and GenAI solutions.
• Participate in release planning, deployment activities, and post-release monitoring.
• Contribute to AI governance, audit, compliance, and documentation requirements.
• Work closely with customers and cross-functional teams to understand and address business needs.
• Create reports, visualizations, and insights to support operational and business decisions.
• Support automation initiatives that improve application reliability and efficiency.
• Stay current with advancements in GenAI, Agentic AI, orchestration frameworks, and data science methodologies.
• Contribute to model validation and performance testing.
• Stay informed about emerging data science tools and methodologies.
Skills:
Our Interview Practices• Analyze, prioritize, and resolve production issues, defects, and performance concerns.
• Support onboarding and implementation of new clients on existing AI platforms.
• Assist in developing, testing, and validating machine learning and GenAI solutions.
• Participate in release planning, deployment activities, and post-release monitoring.
• Contribute to AI governance, audit, compliance, and documentation requirements.
• Work closely with customers and cross-functional teams to understand and address business needs.
• Create reports, visualizations, and insights to support operational and business decisions.
• Support automation initiatives that improve application reliability and efficiency.
• Stay current with advancements in GenAI, Agentic AI, orchestration frameworks, and data science methodologies.
• Contribute to model validation and performance testing.
• Stay informed about emerging data science tools and methodologies.
Skills:
• Generative AI: Working knowledge of LLMs, LangChain, LangGraph, Agentic AI, RAG, and orchestration frameworks.
• Python: Strong proficiency in Python for AI/ML application development and support.
• Machine Learning: Understanding of model development, evaluation, and maintenance.
• SQL & Data Analysis: Ability to analyze and troubleshoot data-related issues.
• AI Operations: Experience supporting production AI applications, releases, and monitoring.
• Compliance & Governance: Awareness of AI governance, risk, security, and regulatory requirements.
• Communication: Excellent verbal and written communication skills with the ability to manage stakeholder and client expectations.
• Problem Solving: Strong analytical skills and ability to diagnose and resolve complex issues.
• Python: Strong proficiency in Python for AI/ML application development and support.
• Machine Learning: Understanding of model development, evaluation, and maintenance.
• SQL & Data Analysis: Ability to analyze and troubleshoot data-related issues.
• AI Operations: Experience supporting production AI applications, releases, and monitoring.
• Compliance & Governance: Awareness of AI governance, risk, security, and regulatory requirements.
• Communication: Excellent verbal and written communication skills with the ability to manage stakeholder and client expectations.
• Problem Solving: Strong analytical skills and ability to diagnose and resolve complex issues.
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.
Wolters Kluwer Pune, Mahārāshtra, IND Office
Building E, East Tower, Marisoft III. , Pune, India, 411014
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What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
