Required Education/Experience:
Bachelors degree in Computer Science Engineering or related field or equivalent experience
Experience in MLOps AIOps or platform engineering roles
Strong experience with DevSecOps practices and securing ML/AI pipelines
Hands-on experience configuring and managing IBM watsonx and Google Cloud Vertex AI
Responsibilities:
Design build and manage secure scalable and reusable MLOps / AIOps platforms
Configure and operationalize IBM watsonx and Google Cloud Vertex AI environments
Develop and maintain CI/CD and ML pipeline automation for model training deployment and monitoring
Implement DevSecOps best practices across infrastructure data pipelines and AI/ML services
Manage Infrastructure as Code (IaC) using tools such as Terraform Ansible or similar
Collaborate with Data Scientists ML Engineers and IT Security teams to integrate ML workflows into enterprise systems
Monitor platform performance reliability and compliance ensuring enterprise-grade governance
Drive innovation by identifying opportunities to improve scalability automation and security of AI/ML infrastructure