ML Ops Engineer

Industry & Sector: Operating in the AI/ML infrastructure and enterprise software sector, this role supports production-grade machine learning platforms that power analytics, automation, and intelligent applications for enterprise customers. The team builds scalable model lifecycle, deployment, and monitoring systems used in regulated, high-availability environments.

MLOps Engineer (Primary title: MLOps Engineer)

About The Opportunity

We are seeking a hands-on MLOps Engineer to join an engineering team delivering end-to-end ML platform capabilities. This is an on-site role in India focused on building robust CI/CD pipelines, containerized model deployment, infrastructure-as-code, and observability for high-throughput ML services.

Role & Responsibilities

• Design, implement and maintain production ML deployment pipelines using containers, orchestration, and CI/CD to enable repeatable model rollouts.
• Build and operate model serving infrastructure (batch and real-time), ensuring low latency, autoscaling, and fault tolerance.
• Implement infrastructure-as-code for cloud resources and platform components to support reproducible environments and controlled releases.
• Integrate model versioning, lineage, and experiment tracking into platform workflows to support reproducible training and auditing.
• Define and instrument monitoring, alerting, and SLOs for model performance, data drift, and infrastructure health.
• Collaborate with Data Scientists and Software Engineers to productionize models, optimize inference, and automate retraining workflows.
  
  

Skills & Qualifications

Must-Have

• Kubernetes
• Docker
• Terraform
• MLflow
• Apache Airflow
• Prometheus
  
  

Preferred

• Kubeflow
• Seldon Core
• TensorFlow Serving
  
  

Benefits & Culture Highlights

• Opportunity to work on mission-critical ML systems used by enterprise customers and scale models to production traffic.
• Collaborative engineering culture with strong emphasis on automation, observability, and reliability engineering.
• On-site role in India enabling close collaboration with cross-functional teams and faster product iteration.
  
  

Location: India (On-site)

Hiring Partner: Viraaj HR Solutions — we are recruiting on behalf of a leading AI/ML infrastructure team. Candidates must be available for on-site work in India.

This role is keyword-optimized for search terms including MLOps, machine learning operations, model deployment, CI/CD for ML, Kubernetes, MLflow, and infrastructure as code to attract senior engineers experienced in productionizing ML at scale.

Skills: terraform,ops,prometheus,docker,ml,kubernetes
Skills Required
Apache Airflow, Terraform, Docker, Prometheus, Kubernetes