CoreOps.AI - DevOps Engineer - MLOps

Job Description :

Role : DevOps / ML-Ops Engineer :

We are seeking a highly skilled DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have a solid foundation in DevOps practices - infrastructure automation, CI / CD, container orchestration, networking, monitoring, Linux system administration, and security compliance - and extend this expertise into operationalizing ML / AI workloads. You will collaborate with data scientists, ML engineers, and software teams to ensure reliable, secure, and scalable deployments of applications and ML models.

Key Responsibilities :

DevOps :

• Design, build, and maintain CI / CD pipelines for applications and AI / ML workloads.
• Implement Infrastructure as Code (Terraform, Ansible, CloudFormation).
• Deploy and manage containerized environments using Docker, Kubernetes, and Helm.
• Manage and optimize cloud infrastructure across AWS, Azure, or GCP.
• Ensure system reliability, security, and performance with strong Linux administration skills.
• Manage web servers, DNS, CDN, and databases (SQL / NoSQL).
• Implement monitoring, logging, and alerting using Prometheus, Grafana, ELK, or Datadog.
• Apply best practices for networking (VPCs, load balancers, DNS, firewalls, service meshes), scaling, and cost optimization.

MLOps :

Security & Compliance :

Must-Have Skills :

Preferred Skills :

(ref : hirist.tech)