Lead, Machine Learning Operations Engineer
GCash (Mynt) (company site, opens in a new tab)2+ yrsWarangalOn-siteDirect career pageEst. 8–18 LPA
Posted on 7 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end monitoring and health upkeep of production ML models including performance tracking, drift detection, and diagnosing deployment/runtime issues.
- Design, build, and maintain scalable ML model serving pipelines ensuring high availability and observability using cloud and containerization technologies.
- Collaborate cross-functionally to implement and optimize automated CI/CD pipelines, reduce incidents, and maintain SLAs through monitoring and alerting systems.
Minimum Requirements
- Bachelor’s degree in Computer Science, Data Science, or related field.
- Minimum 2+ years of hands-on experience in production covering MLOps, DevOps, Data Engineering, or Software Engineering.
- Strong proficiency in Docker, Kubernetes, Python, CI/CD pipeline implementation, and cloud platforms (e.g., AWS).
- Proven experience with model deployment, proactive monitoring, performance tuning, and incident resolution within SLAs.
Ideal Candidate Profile
- Experienced in managing ML model lifecycle in production with a focus on operational stability and cost optimization.
- Comfortable leading problem management activities such as root cause analysis and post-mortems to prevent recurring issues.
- Skilled in documenting and creating technical knowledge bases including runbooks, SOPs, and model cards to ensure knowledge transfer and compliance.