Lead Mlops Engineer
Dyson (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 22–35 LPA
Posted 29d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design, delivery, and operation of production-grade MLOps/AIOps systems to transition ML/AI solutions into scalable, reliable production.
- Own and evolve CI/CD pipelines, cloud infrastructure (GCP), deployment, monitoring, lifecycle management, and standards for Data Science and AI teams.
- Ensure reliability, security, compliance, and mentor engineers to elevate engineering practices and continuous improvement.
Minimum Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field; Master’s preferred.
- Approximately 5+ years of experience in MLOps, ML engineering, or cloud engineering.
- Strong hands-on skills in Python, Terraform, Docker, Kubernetes, and deep familiarity with Google Cloud Platform (GCP) ecosystem.
- Not explicitly mentioned in the JD: Notice period.
Ideal Candidate Profile
- Experienced in leading production deployment and operation of scalable ML, AI, and agent systems with reliability and security focus.
- Skilled in architecting and optimizing cloud infrastructure using Infrastructure as Code (Terraform) within GCP.
- Capable of cross-team enablement and establishing enterprise-grade MLOps engineering patterns and standards.