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, settings 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
Transparent, 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

📌 Ai/ml Ops Bengaluru
🏢 SRS Infoway
📍 Bengaluru