Job Description

:
Senior Engineer (Openshift, Kafka, Devops, ML)
Job Location: Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai
Candidate must involve in design, deploy, and sustain machine learning solutions at the edge, integrated with robust cloud infrastructure. You will be responsible for operationalizing ML models on OpenShift with REST APIs, enabling real-time insights and monitoring through Azure and observability tools, while leveraging CI/CD automation and data integration services.
Key Responsibilities:

• Model Deployment & Management:
• Deploy and manage ML models on OpenShift as REST APIs with real-time managed endpoints.
• Utilize Microsoft Azure ML for experimentation, model training, versioning, and lifecycle management.
• Configure private endpoints and security protocols for compliance and data protection.
• Work with Confluent Kafka for real-time streaming and event-driven architectures at the edge and cloud.
• Infrastructure as Code:
• Automate infrastructure provisioning using Terraform for consistent deployments across environments.
• Observability & Monitoring:
• Implement observability using Managed Prometheus, Grafana, Azure Application Insights, and AppInsights for edge health, performance, and usage metrics.
• DevOps & MLOps:
• Maintain CI/CD pipelines using Azure DevOps and ArgoCD for seamless model and infrastructure delivery.
• Monitor model performance post-deployment and handle model retraining as needed.

Required Skills and Experience:

• 5+ years of experience in ML/AI/DevOps engineering, including Edge deployment.
• Strong proficiency in OpenShift, Azure ML, and Terraform.
• Hands-on experience with Kafka, Snowflake, and Function Apps.
• Proven experience with CI/CD pipelines, preferably Azure DevOps and Argo.
• Good understanding of monitoring tools (Prometheus, Grafana, AppInsights).
• Experience in secure deployments and managing private endpoints in Azure.

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