ML OPS Engineer

Hi

Greetings from the Conch technologies

Position: ML OPS Engineer

Location: Concord, CA ( 5 days a week onsite )

Duration: 12+ Months Contract

Job Summary

We are seeking an experienced ML Ops Engineer to design, build, and support scalable, secure, and production-ready machine learning platforms across cloud and on-premises environments. The ideal candidate will have strong expertise in MLOps, Kubernetes, cloud platforms, automation, and reliability engineering.

• 8+ years of experience in Platform Engineering, DevOps, MLOps, or related fields.
• Strong experience with GCP (Google Cloud Platform) and cloud-native technologies.
• Hands-on expertise in Kubernetes, including GKE and/or OpenShift.
• Strong proficiency in Python for automation and platform development.
• Experience building and managing MLOps platforms and ML lifecycle workflows.
• Expertise in CI/CD pipelines and infrastructure automation.
• Knowledge of security, data protection, and compliance best practices.
• Experience with observability, monitoring, logging, and incident management.
• Strong understanding of Site Reliability Engineering (SRE) principles.
• Excellent communication and stakeholder management skills.

• Experience designing enterprise-scale ML platform architectures.
• Multi-cloud experience (AWS, Azure, and GCP).
• Experience supporting AI/GenAI workloads in production environments.
• Knowledge of Infrastructure as Code (Terraform, Ansible, etc.).
• Familiarity with model serving, feature stores, and model monitoring.
• Experience mentoring engineers and driving platform engineering best practices.
• Background in highly regulated enterprise environments.

Thank you & Regards

V S Durga Prasad | Sr. I T Recruiter

E: View email address on us.fitly.work | Desk Ph

Conch Technologies Inc |