Description

Key Skills: Gen AI, Robot Framework, Data Scientist, Verification Validation,, QMS, Cloud (AWS / Azure / GCP), Containerization (Docker, Kubernetes), QA, DevOps, CICD

Roles and Responsibilities:

• Define and execute verification and validation strategies for data science, machine learning and generative AI solutions.
• Develop validation frameworks, test scenarios and acceptance criteria for AI models, data pipelines and integrated applications.
• Build and maintain automated test suites using Robot Framework for functional, regression and system-level validation.
• Assess model outputs, data quality, edge cases and failure modes across AI and analytics use cases.
• Partner with engineering and quality teams to establish measurable software quality gates and release readiness criteria.

Skills Required:

• 10 - 18 years of relevant experience in data science, AI validation, software quality engineering, verification and validation or test automation.
• Senior-level experience as a Data Scientist delivering or validating machine learning, analytics or AI solutions.
• Strong understanding of verification and validation principles applied to software, data and AI systems.
• Hands-on experience with Robot Framework and automated test design.
• Practical experience validating generative AI applications, outputs, quality metrics and responsible-use scenarios.

Good to Have:

• DevOps, CI/CD, QA, QMS, cloud platforms including AWS, Azure or GCP, and containerization technologies such as Docker or Kubernetes.

Education: B.E., B.Tech, dual B.Tech-M.Tech, M.Tech or M.E. in Electrical and Electronics Engineering, Electrical Communication Engineering, Electronics and Communication Engineering, Electronics Engineering, Communication Engineering or Civil Engineering

Key Skills

Education

Any Graduate