Vertex AI Platform Engineer
• Maintain and optimize the operational stability and performance of the Vertex AI environment • Monitor health and performance of Vertex AI services including notebooks, pipelines, endpoints, and managed instances • Troubleshoot and resolve issues related to scheduling, testing, and configuration • Collaborate with DevOps teams to implement automated deployment and testing processes • Ensure new Vertex AI features (e.g., GenAI) are properly configured and integrated • Triage and resolve support tickets related to Vertex AI platform issues • Perform root cause analysis to identify and prevent future problems • Develop and maintain documentation on incident resolution procedures • Investigate and address performance bottlenecks in the Vertex AI environment • Implement monitoring and alerting systems to proactively identify potential issues • Collaborate with AI/ML teams to optimize resource utilization and cost efficiency • Stay up-to-date on new Vertex AI features and releases • Plan and execute platform upgrades and enhancements • Work with AI/ML teams to assess the impact of new features on existing workflows • Strong knowledge of Vertex AI and its components • Experience with containerization and orchestration technologies such as Docker and Kubernetes • Familiarity with LLMs and anomaly detection techniques • Proficiency in Python and other scripting languages • Experience with cloud monitoring and logging tools like Stackdriver • Familiarity with DevOps practices and tools including CI/CD pipelines • Ability to quickly diagnose and resolve complex technical issues • Strong analytical and troubleshooting skills • Proactive approach to identifying and preventing potential problems • Ability to effectively communicate technical concepts to both technical and non-technical stakeholders • Excellent written and verbal communication skills • Ability to collaborate effectively with cross-functional teams • Experience with machine learning frameworks such as TensorFlow or PyTorch • Knowledge of data engineering and pipeline management • Understanding of security best practices for AI/ML platforms