AI/ML Ops

SRS Infoway; Bengaluru; Hybrid; INR 300,000 - 600,000; Full time

Job summary

SRS Infoway in Bengaluru is seeking an experienced MLOps Engineer to design and implement CI/CD pipelines for models, prompts and AI services. You will automate packaging, deployment, approvals, rollbacks and artifact versioning to ensure reliable production systems.

The role includes managing model registries, feature stores, environments and repositories, plus monitoring performance, data quality and cost.

Qualifications

• Bachelor's degree in Computer Science, Engineering or related field.
• Azure, Kubernetes or DevOps certification preferred.

Responsibilities

• Build CI/CD and continuous-training pipelines for models, prompts and AI services.
• Automate packaging, deployment, approval, rollback, retirement and artifact versioning.
• Manage model registries, feature pipelines, environments and repositories.
• Monitor model performance, drift, latency, reliability, cost and data quality.
• Provision cloud and Kubernetes infrastructure through Infrastructure as Code and maintain runbooks and audit trails.

Skills

Observability

Release governance

Incident support

Education

Bachelor's degree in Computer Science/Engineering or related field

Azure, Kubernetes or DevOps certification preferred

Tools

Azure ML

MLflow

Databricks

Azure DevOps

GitHub Actions

Jenkins

Docker

Kubernetes

Terraform

Python

Model registry

Feature store

Secrets management

Job description

Key Responsibilities

• Build CI/CD and continuous-training pipelines for models, prompts and AI services.
• Automate packaging, deployment, approval, rollback, retirement and artifact versioning.
• Manage model registries, feature pipelines, environments and repositories.
• Monitor model performance, drift, latency, reliability, cost and data quality.
• Provision cloud and Kubernetes infrastructure through Infrastructure as Code and maintain runbooks and audit trails.

Required Skills

• Azure ML, MLflow and Databricks
• Azure DevOps, GitHub Actions or Jenkins
• Docker, Kubernetes, Terraform and Python
• Model registry, feature store and secrets management
• Observability, release governance and incident support

Qualifications

Bachelor's degree in Computer Science, Engineering or related field. Azure, Kubernetes or DevOps certification preferred.

Key Deliverables / Success Measures

• Clear, approved deliverables aligned to squad objectives
• Evidence of quality, security, compliance and governance controls
• Predictable collaboration across business and technology stakeholders
• Measurable improvement in product adoption, delivery flow or operational outcomes Role & responsibilities

Preferred candidate profile