Client is one of the world’s leading qualified services firms and the fastest growing Big Four accounting firm
About The Job:
- We are seeking skilled MLOps/DevOps Engineers to support AI/ML and Generative AI platforms for a global Life Sciences project. The ideal candidate will have strong experience in cloud infrastructure, CI/CD automation, containerization, Kubernetes orchestration, and deployment of AI/ML workloads.
Essential Job Functions:
- Design, implement, and maintain CI/CD pipelines for AI/ML and enterprise applications.
- Deploy, manage, and monitor applications using Docker and Kubernetes.
- Automate infrastructure provisioning using Terraform and Infrastructure-as-Code (IaC) practices.
- Support AI/ML and Generative AI model deployment and operationalization.
- Manage cloud environments on AWS and/or Azure.
- Configure and maintain GitLab repositories and GitLab CI/CD pipelines.
- Implement monitoring, logging, security, and performance optimization across environments.
- Collaborate with AI Engineers,
Data Scientists, and Software Engineers to productionize ML solutions.
- Troubleshoot deployment, infrastructure, networking, and performance issues.
- Support workplace setup, release management, and platform reliability initiatives.
Qualifications:
Must Have
- Strong experience with GitLab and GitLab CI/CD.
- Hands-on expertise in Docker and Kubernetes.
- Proficiency in Python scripting and automation.
- Experience with AWS and/or Azure Cloud platforms.
- Strong knowledge of Terraform and Infrastructure as Code.
- Understanding of DevOps best practices, monitoring, security, and automation.
- Experience supporting AI/ML platforms and workloads.
Preferred Skills
- Exposure to MCP (Model Context Protocol).
- Experience supporting LLM/GenAI applications.
- Knowledge of MLOps frameworks and model deployment strategies.
- Familiarity with observability tools such as Prometheus, Grafan
📌 MLOps / DevOps Engineer (Pune)
🏢 VARITE
📍 Pune
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