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AI product Manager

0 years

0 Lacs

chennai tamil nadu india

Posted:6 days ago| Platform: Linkedin logo

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Skills Required

ai drive data testing monitoring engineering model design metrics drift latency strategy strategies management analysis collaboration ml tooling automation compliance governance risk capture

Work Mode

On-site

Job Type

Full Time

Job Description

Overview

We are seeking a highly detail-oriented AI Product Manager – Ops to own and drive operationalexcellence in data testing, validation, and monitoring of AI models in production environments.This role sits at the intersection of product, data science, engineering, and operations. Responsiblefor ensuring that AI-driven features perform reliably, safely, and responsibly at scale, whilecontinuously improving product quality and customer experience.

Responsibilities

 Reduction in production incidents caused by data/model issues. Establishment of reliable and scalable monitoring systems for AI products. Faster resolution time for data and model testing failures.

Qualifications

  • Data Quality & Validation: Design and manage frameworks for data testing in
production, ensuring high-quality, unbiased, and consistent datasets feed into AI
models.
  • Production Monitoring: Establish and monitor key health metrics (e.g., drift
detection, anomaly detection, precision/recall, latency, and fairness) for AI systems in
live environments.
  • Testing Strategy: Develop and operationalize A/B testing and canary release strategies
for model updates to mitigate risk.
  • Incident Management: Lead root cause analysis and resolution of data-related
production issues in collaboration with engineering, ML, and data science teams.
  • Tooling & Automation: Drive requirements for automated testing pipelines,
monitoring dashboards, and alerting systems.
  • Cross-functional Collaboration: Work closely with product managers, ML engineers,
data scientists, SREs, and compliance teams to ensure responsible AI deployment.
  • Governance & Compliance: Ensure adherence to AI risk management, regulatory
guidelines, and internal governance frameworks.
  • Feedback Loop: Build mechanisms to capture customer and system feedback for
continuous model improvement.
  • Location: ChennaiSkills: ai product manager,ai product management

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