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Responsible AI Eval Specialist

McCain Foods


Job Location:

Gurgaon - India

Monthly Salary: Not provided by the employer
Posted: 19 August 2026 (17 days ago)
Application Deadline: 16 November 2026
Vacancies: 1 Vacancy

Job Summary

Position Title:Responsible AI / Eval Specialist

Position Type: Regular - Full-Time

Requisition ID:43986

In every role McCainers are ambitious curious and passionate about creating exceptional work experiences - together. With a customer-first mindset we make doing business with McCain easy.
About the role.
The Responsible-AI / Eval Specialist is responsible for designing implementing and operating evaluation frameworks that determine whether AI use cases are ready to progress through governance stage-gates and into production. This role serves as the hands-on execution arm of McCains Responsible AI standards working closely with AI Platform & Engineering Knowledge Engineering Forward Deployment Engineers and Security teams to evaluate accuracy reliability fairness robustness and overall quality across the McCain AI ecosystem. The role supports AI solutions built on Azure Anthropic foundation models Distyl technologies Databricks SAP Salesforce and other enterprise platforms.
What youll be doing.
  • Design and execute evaluation strategies for AI use cases including assessments of accuracy reliability hallucination rates fairness and robustness.
  • Build maintain and operate evaluation harnesses benchmark suites and golden datasets across the McCain AI technology stack.
  • Conduct stage-gate evaluations and provide clear actionable findings to support governance decisions.
  • Run bias and fairness testing across protected attributes and business-relevant user groups.
  • Identify quantify and communicate fairness concerns while recommending practical remediation approaches.
  • Lead red-team and adversarial testing exercises to identify vulnerabilities failure modes prompt injection risks and jailbreak scenarios.
  • Partner with Enterprise Security teams to strengthen AI resilience through broader adversarial testing initiatives.
  • Support risk classification activities by providing evaluation evidence and recommendations that inform governance decisions.
  • Collaborate with AI Platform & Engineering and Knowledge Engineering teams to embed evaluation capabilities into AI development workflows.
  • Maintain model cards evaluation reports decision logs and other governance documentation while contributing to Responsible AI standards and playbooks.
  • Coach AI Engineers and Forward Deployment Engineers on evaluation best practices and quality disciplines.
  • Share evaluation insights frameworks and reusable patterns across the AI organization.
What youll need to be successful.
  • Bachelors degree in Computer Science Statistics Engineering or a related field; advanced degree preferred.
  • 10 years of experience in AI/ML evaluation model validation model risk management or a related discipline.
  • Hands-on experience with AI/ML evaluation methodologies and performance metrics including accuracy calibration fairness and robustness.
  • Experience evaluating Large Language Models (LLMs) and AI agents using frameworks such as HELM Eleuther LM Evaluation Harness or equivalent platforms.
  • Strong Python programming skills and experience with common machine learning evaluation and testing tools.
  • Experience working with Databricks or comparable enterprise data platforms.
  • Familiarity with Responsible AI and AI governance frameworks including NIST AI RMF EU AI Act ISO/IEC 42001 or similar standards.
  • Strong analytical problem-solving and critical-thinking skills.
  • Ability to communicate complex technical findings effectively to both technical and non-technical stakeholders.
  • Experience conducting bias testing red-team exercises adversarial testing and AI risk assessments is highly desirable.
About the team.
The Responsible-AI / Eval Specialist is part of McCains AI governance and delivery ecosystem and works closely with the Use Case Governance & Operations Lead. The role partners across AI Platform & Engineering Knowledge Engineering Forward Deployment Engineering Enterprise Security and business stakeholders to ensure AI use cases meet quality risk and Responsible AI standards before deployment. This position plays a critical role in advancing safe reliable and trustworthy AI solutions across the organization.
About McCain.
Leadership principles.
At McCain our leadership principles guide how we engage with customers collaborate as a team and achieve success. We focus on understanding customer needs driving innovation empowering people and taking ownership to clear obstacles and deliver results.
AI & Digital Capabilities.
At McCain AI and digital capabilities are part of how we work and innovate. We value curiosity toward emerging technologies and the thoughtful responsible use of AI-enabled tools to improve outcomes as part of our future-ready culture.
The McCain experience.
We are McCain. This statement is a testament to our collective strength and our individual value. Your contributions play a vital role in our success. Our winning culture is rooted in authenticity and trust empowering us to bring out the best in one another. Here youll find opportunities to learn grow and thrive. Join us and experience why were better together.
Our purpose is grounded in building meaningful relationships. Were big believers in the power of working together in personit helps us stay connected collaborate more effectively and grow as a team. At the same time we recognize the importance of flexibility. Most office-based roles follow a hybrid model with the option to work remotely two days a week. There may be exceptions depending on the role and location so we encourage you to speak with your recruiter for more details.

McCain Foods is an equal opportunity employer. As a global family-owned company we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity resilience and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race religion color national origin sex age veteran status disability or any other protected characteristic under applicable law.

McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms) please let us knowand we will work with you to find appropriate solutions.

Your privacy is important to us. By submitting personal data or information to us you agree this will be handled in accordance with McCains Global Privacy Policyand Global Employee Privacy Policy as applicable. McCain leverages AI in the hiring process though all final decisions are made by humans. You can understand our approach to AI and how your personal information is being handled here.

Job Family:Information Technology

Location(s): IN - India : Haryana : Gurgaon

Company:McCain Foods(India) P Ltd


Required Experience:

IC


About Company

Company Logo

McCain Foods | Our purpose - 'Celebrating real connections through delicious, planet-friendly food'. We supply delicious frozen French fries, potato specialties, and appetizers to retail and foodservice customers around the globe.

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