AI/ML MLOps Engineer
Persistent Systems Limited (company site, opens in a new tab)8–15 yrsPuneHybridDirect career pageEst. 30–50 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end fine-tuning and deployment of a self-hosted large language model (LLM) to replace a commercial inference pipeline for automated UI test execution.
- Build and maintain training data pipelines including format conversion, deduplication, and quality filtering to ensure model quality.
- Design and implement evaluation frameworks and rollout strategies (shadow-mode, A/B testing, automated rollback) to monitor and improve model performance in production.
Minimum Requirements
- Work experience: 8 to 15 years in AI/ML MLOps or related roles.
- Location: All Persistent locations (including Pune, Maharashtra, India).
- Technical expertise in supervised fine-tuning of large language models, data pipeline construction, evaluation frameworks, and deployment strategies.
- Education or degree requirements: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced with progressive scaling of ML models and automation of deployment/rollback pipelines.
- Comfortable collaborating with cross-functional teams to integrate AI solutions into existing workflows.
- Demonstrated ability to monitor production ML systems and implement continuous improvement methods such as canary deployments.