MLOps Engineer

MLOps Engineer at Zensar Technologies

Key Responsibilities

• Build and maintain secure APIs and identity-related services, including authentication, authorization, secrets management, and service-to-service integrations.
• Design and operate containerized platform services on Linux, including Kubernetes deployments, configuration management, and troubleshooting across environments.
• Implement robust CI/CD pipelines using tools such as GitHub Actions, enabling automated builds, testing, security scanning, controlled deployments, and rollback procedures.
• Leverage infrastructure automation tools like Terraform or Ansible to manage and provision infrastructure.
• Develop reliable, maintainable production applications, REST APIs, automation scripts, and data-processing workflows using Python.
• Implement object-oriented programming, exception handling, unit testing, and performance optimization in Python applications.
• Deploy, troubleshoot, and secure applications and AI/ML workloads on at least one major cloud platform (AWS, Azure, or Google Cloud) using Docker and Kubernetes.
• Utilize monitoring, logging, and observability tools (Splunk, Elasticsearch, Kibana, Prometheus, Grafana) to query logs, collect metrics, build dashboards, configure alerts, and monitor application and platform health.

Requirements & Tech Stack

• Python
• REST APIs
• Object-oriented programming
• Exception handling
• Unit testing
• Performance optimization
• AWS, Azure, or Google Cloud
• Docker
• Kubernetes
• Linux
• Bash scripting
• Command-line tools
• Process and service management
• Networking
• Log analysis
• Git
• CI/CD
• GitHub Actions
• Terraform or Ansible
• Splunk, Elasticsearch, Kibana, Prometheus, or Grafana