Advanced Cloud Engineer

2 weeks ago

Pune, Maharashtra, India beBeeMLOps Full time ₹ 20,00,000 - ₹ 30,00,000
Job Overview

We are seeking a highly skilled professional to support our rapidly growing AI/ML initiatives. This role requires deep experience in managing cloud-native environments, ML model pipelines, and distributed compute systems.

Key Responsibilities
  • Design, build, and maintain CI/CD pipelines for machine learning model training and deployment workflows.
  • Manage and optimize Kubernetes clusters with GPU-based compute for distributed ML workloads.
  • Automate infrastructure provisioning and management using Terraform on GCP, AWS, or Azure.
  • Deploy and manage components such as vector databases, feature stores, and observability tools.
  • Ensure security, resilience, and high availability of all AI workloads and underlying infrastructure.
Required Skills & Experience
  • 7+ years in DevOps, MLOps, or Infrastructure Engineering roles.
  • 4+ years of experience in cloud-native development, with at least 2+ years in AI/ML-related environments.
  • Proficient in Python and scripting languages like Bash.
  • Hands-on experience with CI/CD tools such as Jenkins, Harness, GitHub Actions, or ArgoCD.

This is a challenging role that requires expertise in multiple areas, but offers opportunities for growth and innovation.

What We Offer

As a member of our team, you will have the opportunity to work with talented engineers, researchers, and data scientists to develop and deploy cutting-edge AI solutions.

You will be part of a dynamic and supportive environment that encourages collaboration, creativity, and continuous learning.

Our organization values diversity, equity, and inclusion, and we strive to create a workplace culture that reflects these values.

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