Data Scientist (AI operations)(3-5years exp only)

Posted An Hour Ago
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Pune, Maharashtra, IND
In-Office
Mid level
Information Technology • Software
The Role
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.
Summary Generated by Built In

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:
• 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.
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.

Skills Required

  • 3-5 years of professional experience
  • Strong proficiency in Python for AI and machine learning application development and support
  • Working knowledge of LLMs, LangChain, LangGraph, Agentic AI, RAG, and orchestration frameworks
  • Understanding of machine learning model development, evaluation, and maintenance
  • Ability to analyze and troubleshoot data-related issues using SQL and data analysis
  • Experience supporting production AI applications, releases, and monitoring
  • Awareness of AI governance, risk, security, and regulatory requirements
  • Excellent verbal and written communication skills for managing stakeholder and client expectations
  • Strong analytical and problem-solving skills

Wolters Kluwer Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Wolters Kluwer and has not been reviewed or approved by Wolters Kluwer.

  • Leave & Time Off Breadth Time away benefits are positioned as broad, spanning vacation and sick time plus paid holidays and other covered leave types. Paid parental and caregiver leave, bereavement leave, and a volunteer day contribute to a more comprehensive time-off offering.
  • Retirement Support Retirement support is framed as meaningful through access to a 401(k)/retirement plan paired with company matching and additional contribution features in some descriptions. This is reinforced by mentions of profit sharing and other long-term savings-oriented programs.
  • Parental & Family Support Family-oriented support stands out through adoption assistance and paid parental leave provisions. These benefits are described alongside other caregiver supports that extend beyond basic leave categories.

Wolters Kluwer Insights

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The Company
HQ: Alphen aan den Rijn
18,996 Employees

What We Do

Wolters Kluwer (www.wolterskluwer.com) is a global leader in information services and solutions for professionals in the health, tax and accounting, risk and compliance, finance and legal sectors. We help our customers make critical decisions every day by providing expert solutions that combine deep domain knowledge with specialized technology and services. Founded in 1836 and headquartered in Alphen aan den Rijn, the Netherlands, the company serves customers in over 180 countries, maintains operations in over 40 countries and employs 18,600 people worldwide. Wolters Kluwer reported 2019 annual revenues of €4.6 billion. Listed on Euronext Amsterdam, Wolters Kluwer shares (WKL) are included in the AEX and Euronext 100 indices. Wolters Kluwer has a sponsored Level 1 American Depositary Receipt program. The ADRs are traded on the over-the-counter market in the U.S. (WTKWY).

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