MLOps Infrastructure Engineer – AI Security

Greetings from Maneva!

Job Description

Job Title - MLOps / Infrastructure Engineer AI Security

Experience - 7 10 Years

Location - Bangalore

Notice - Immediate Joiner

Requirements:-

The MLOps / Infrastructure Engineer AI Security is responsible for building operating and scaling the infrastructure and ML pipelines that support AI security research and production systems. The role ensures that AI models datasets experiments and security evaluations are reproducible observable and deployable in a secure and compliant manner.

• Design build and maintain ML pipelines for model training evaluation and AI security testing.
• Own infrastructure for experimentation benchmarking and large-scale model analysis.
• Integrate AI security checks (e.g. scanning verification unlearning workflows) into ML pipelines.
• Manage compute storage and orchestration environments for research and platform workloads.
• Ensure reproducibility traceability and auditability of models data and experiments.
• Support deployment monitoring and lifecycle management of AI security tools and services.
• Collaborate with research backend and security teams to enable end-to-end delivery.

• Strong experience with MLOps platforms ML pipelines and workflow orchestration tools.
  
• Hands-on experience with containerisation and orchestration (Docker Kubernetes or equivalent).
• Experience managing cloud or on-prem compute environments for ML workloads.
• Familiarity with experiment tracking model registries and data versioning tools.
• Understanding of security compliance and access control considerations in ML systems.
• Strong scripting and programming skills (Python preferred).

Qualifications

Bachelors or Masters degree in Computer Science Engineering or a related field.

If you are excited to grab this opportunity please apply directly or share your CV atand