Mlops Platform

Job Description - MLOps Platform - GCP Cloud Engineering (MER0003DAJ) Group: Mercedes-Benz Group AG
Job Summary: We are seeking a talented Google Cloud Engineer with 2 to 5 years of experience to join our team. The ideal candidate will have a strong background in Google Cloud Platform (GCP), DevOps practices, MLOps, and Kubernetes. This role involves designing, implementing, and maintaining scalable cloud infrastructure, automating workflows, and supporting machine learning operations.
Key Responsibilities: Google Cloud Platform (GCP) Management:
- Design, deploy, and manage GCP services including Compute Engine, Cloud Storage, BigQuery, and Cloud SQL.
- Optimize cloud infrastructure for performance, security, and cost-efficiency.DevOps:
- Implement CI/CD pipelines using tools such as Jenkins, GitLab CI, or Google Cloud Build.
- Automate infrastructure provisioning and application deployment using Infrastructure as Code (IaC) tools like Terraform or Google Cloud Deployment Manager.
- Monitor system performance and troubleshoot issues to ensure high availability and reliability.MLOps:
- Support the deployment, scaling, and management of machine learning models on GCP.
- Work with data scientists to operationalize machine learning workflows and integrate them into production environments.
- Implement monitoring and logging solutions for machine learning models to ensure they perform optimally.Kubernetes:
- Manage and orchestrate containerized applications using Kubernetes.
- Deploy, scale, and maintain Kubernetes clusters on GCP.
- Develop and manage Helm charts for application deployments.Collaboration and Support:
- Work closely with development teams to understand application requirements and provide cloud solutions.
- Document processes, configurations, and best practices for team knowledge sharing.
- Provide technical support and troubleshoot complex issues related to cloud infrastructure and services.Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.3 to 7 years of hands-on experience with Google Cloud Platform (GCP).Strong experience with DevOps practices and tools (CI/CD, IaC, pulumi with typescript).Proficiency in Kubernetes for container orchestration.Experience with MLOps, including deploying and managing machine learning models in a cloud environment.Strong scripting skills (e.g., Python, Bash, or Go).Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana).Excellent problem-solving skills and ability to troubleshoot complex issues.Strong communication skills and the ability to work effectively in a team environment.Preferred Qualifications: Google Cloud Professional Architect or Google Cloud Professional Data Engineer certification.Experience with additional cloud providers (e.g., AWS, Azure).Knowledge of additional container orchestration tools or serverless architectures.Experience with security best practices in cloud environments.OrganizationOrganization: Mercedes-Benz Research and Development India Private Limited
Primary Location: India-Karnataka-Bangalore
Work Locations: Brigade Tech Gardens, Katha No. 119, Kundalahalli Village, K.R. Puram Hobli, Ward No. 85, Bangalore 560037

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