Job description
Job SummaryThe AI Ops Engineer manages the deployment, monitoring, and maintenance of AI models. This role involves ensuring the reliability, scalability, and performance of AI systems, collaborating with cross-functional teams to optimize AI operations, and troubleshooting issues as they arise.Responsibilities and DutiesDeploy, monitor, and maintain AI models and systems to ensure optimal performance and reliability.Implement and manage CI/CD pipelines for the continuous integration and delivery of AI models.Collaborate with data scientists, AI engineers, and other stakeholders to understand model requirements and ensure successful deployment.Monitor the performance of AI models and systems, identifying and resolving issues promptly.Develop and maintain automated monitoring and alerting systems to ensure the health and performance of AI systems.Optimize AI models and infrastructure for scalability and efficiencyEnsure compliance with data governance, security, and regulatory standards in AI operations.Document deployment procedures, monitoring processes, and maintenance activities.Stay updated with the latest advancements in AI operations and infrastructure technologies.Provide technical support and guidance to junior team members.Participate in project planning and contribute to the development of project timelines and deliverables.Perform other duties relevant to the job as assigned by the Sr. AI Ops Engineer or senior management.RequirementsBachelor’s degree in Computer Science, Information Technology, or a related fieldRelevant certifications (e.g., AWS Certified DevOps Engineer, Google Cloud Professional DevOps Engineer) are preferredMinimum of 3 years of experience in AI operations, DevOps, or related fieldsExperience in managing the deployment and maintenance of AI modelsStrong programming skills in languages such as PythonProficiency in AI and machine learning frameworks (e.g., TensorFlow, PyTorch)Experience with CI/CD tools (e.g., Jenkins, GitLab CI)Excellent problem-solving and troubleshooting skillsStrong communication and interpersonal skillsIn-depth knowledge of AI operations and infrastructure managementFamiliarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI servicesUnderstanding of data governance, security, and regulatory standardsAbility to manage multiple tasks and prioritize effectivelyStrong attention to detail and commitment to delivering high-quality workAbility to work independently and as part of a teamProgramming languages (e.g., Python)AI and machine learning frameworks (e.g., TensorFlow, PyTorch)CI/CD tools (e.g., Jenkins, GitLab CI)Cloud platforms (e.g., AWS, Azure, Google Cloud)Monitoring and logging tools (e.g., Prometheus, ELK Stack)Collaboration and communication tools (e.g., Slack, Microsoft Teams)