Experience:

• 4-7+ years of experience in a MLOps or Agent Ops role
• Experience working in an agile development environment

Qualification:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field
• Master's degree in a relevant field

Responsibilities:

• Deploy, configure, and manage AI models, agentic systems, and supporting infrastructure
• Implement and maintain CI/CD pipelines for AI/ML models and agentic applications
• Manage and optimize cloud resources
• Develop and implement comprehensive monitoring, logging, and alerting solutions
• Provide operational support for production AI systems
• Automate routine operational tasks, deployment processes, and system maintenance activities
• Collaborate effectively with AI developers, data scientists, AI architects, and other stakeholders

Nice to have:

• Specific experience in MLOps or Agent Ops, including deploying and managing machine learning models or large language model applications in production
• Familiarity with AI/ML frameworks and libraries
• Understanding of agentic AI concepts and the operational challenges they present
• Experience with managing vector databases or other specialized data stores for AI
• Knowledge of data pipeline tools
• Relevant cloud certifications

More skills:

CI/CD tools, Bitbucket, GitLab CI, GitHub Actions, Prometheus, Grafana, ELK Stack, Datadog, Google Cloud Monitoring, TensorFlow, PyTorch, scikit-learn, Apache Airflow, Kubeflow Pipelines

Other:

• Competitive salary, bonus, and benefits package
• Opportunity to significantly impact the reliability and efficiency of transformative AI solutions
• Work in a dynamic, innovative, and collaborative AI Center of Excellence