Relanto is looking for a DevOps Engineer – GCP to join our team of experts for Bangalore Locations. Take your career to new heights with our talented professionals. Don't miss out on this amazing opportunity.
About Us
Relanto.ai is a cutting-edge IT services company at the forefront of revolutionizing business operations through Intelligent Automation, Digital Transformation, and harnessing the power of Data and AI. Our passion lies in creating solutions that empower businesses to achieve unprecedented efficiency, innovation, and growth.
Position Overview
We are seeking a skilled DevOps Engineer with strong experience in Google Cloud Platform (GCP) to support AI / ML project infrastructure. The ideal candidate will work closely with data scientists, ML engineers, and developers to build and manage scalable, secure, and automated pipelines for AI / ML model training, testing, and deployment.
Responsibilities :
- Design and manage cloud infrastructure to support AI / ML workloads on GCP.
- Develop and maintain CI / CD pipelines for ML models and applications.
- Automate model training, validation, deployment, and monitoring processes using tools like Kubeflow, Vertex AI, Cloud Composer, Airflow, etc.
- Set up and manage infrastructure as code (IaC) using tools such as Terraform or Deployment Manager.
- Implement robust security, monitoring, logging, and alerting systems using Cloud Monitoring, Cloud Logging, Prometheus, Grafana, etc.
- Collaborate with ML engineers and data scientists to optimize compute environments (e.g., GPU / TPU instances, notebooks).
- Manage and maintain containerized environments using Docker and Kubernetes (GKE).
- Ensure cost-efficient cloud resource utilization and governance.
Required Skills
Bachelor's degree in engineering or relevant fieldMust have 4 years of proven experience as DevOps Engineer with at least 1 year on GCPStrong experience with DevOps tools and methodologies in production environmentsProficiency in scripting with Python, Bash, or ShellExperience with Terraform, Ansible, or other IaC tools.Deep understanding of Docker, Kubernetes, and container orchestrationKnowledge of CI / CD pipelines, automated testing, and model deployment best practices.Familiarity with ML lifecycle tools such as MLflow, Kubeflow Pipelines, or TensorFlow Extended (TFX).Experience in designing conversational flows for AI Agents / chatbotInterested candidates please share your profile : - deepti.sharma@relanto.ai
To learn more about us and our culture visit : www.relanto.ai.com &