Engineer AI OPS Engineer

We are looking for a proactive and detail-oriented AI OPS Engineer to support the deployment monitoring and maintenance of AI / ML models in production. Reporting to the AI Developer this role will focus on MLOps practices including model versioning CI / CD observability and performance optimization in cloud and hybrid environments.

Key Responsibilities :

• Build and manage CI / CD pipelines for ML models using platforms like MLflow Kubeflow or SageMaker.
• Monitor model performance and health using observability tools and dashboards.
• Ensure automated retraining version control rollback strategies and audit logging for production models.
• Support deployment of LLMs RAG pipelines and agentic AI systems in scalable containerized environments.
• Collaborate with AI Developers and Architects to ensure reliable and secure integration of models into enterprise systems.
• Troubleshoot runtime issues latency and accuracy drift in model predictions and APIs.
• Contribute to infrastructure automation using Terraform Docker Kubernetes or similar technologies.

Qualifications :

Required Qualifications :

Preferred Skills :

Remote Work : No

Employment Type : Full-time

Key Skills

ASP.NET,Health Education,Fashion Designing,Fiber,Investigation

Experience : years

Vacancy : 1