Sr. AI Ops Engineer
The Sr. AI Ops Engineer manages the deployment, monitoring, and maintenance of AI models and systems. 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.
- Deploy, monitor, and maintain AI models andsystems to ensure optimal performance and reliability.
- Implement and manage CI/CD pipelines forthe continuous integration and delivery of AI models.
- Collaborate with data scientists, AIengineers, and other stakeholders to understand model requirements and ensuresuccessful deployment.
- Monitor the performance of AI models andsystems, identifying and resolving issues promptly.
- Develop and maintain automated monitoringand alerting systems to ensure the health and performance of AI systems.
- Optimize AI models and infrastructure forscalability and efficiency.
- Ensure compliance with data governance,security, and regulatory standards in AI operations.
- Document deployment procedures, monitoringprocesses, and maintenance activities.
- Stay updated with the latest advancementsin AI operations and infrastructure technologies.
- Provide technical support and guidance toAI Ops engineers and other team members.
- Participate in project planning andcontribute to the development of project timelines and deliverables.
- Perform other duties relevant to the job asassigned by the Principal AI Ops Engineer or senior management.
- Bachelor's degree in Computer Science,Information Technology, or a related field
- Relevant certifications (e.g., AWSCertified DevOps Engineer, Google Cloud Professional DevOps Engineer) arepreferred
- Minimum of 5 years of experience in AIoperations, DevOps, or related fields
- Experience in managing the deployment andmaintenance of AI models
- Strong programming skills in languages suchas Python ,etc.
- Proficiency in AI and machine learningframeworks (e.g., TensorFlow, PyTorch)
- Experience with CI/CD tools (e.g., Jenkins,GitLab CI)
- Excellent problem-solving andtroubleshooting skills
- Strong communication and interpersonalskills
- In-depth knowledge of AI operations andinfrastructure management
- Familiarity with cloud platforms (e.g.,AWS, Azure, Google Cloud) and their AI services
- Understanding of data governance, security,and regulatory standards
- Ability to manage multiple tasks andprioritize effectively
- Strong attention to detail and commitmentto delivering high-quality work
- Ability to work independently and as partof a team
- Programming languages (e.g., Python, Java)
- AI and machine learning frameworks (e.g.,TensorFlow, PyTorch)
- Monitoring and logging tools (e.g.,Prometheus, ELK Stack)
- Collaboration and communication tools(e.g., Slack, Microsoft Teams)