We are seeking a skilled AI Operations Engineer to join our team and drive the development and maintenance of machine learning pipelines using Vertex AI. The role is important in building scalable, efficient, and robust AI solutions to support our data-driven initiatives.
What you'll be doing
- Build and run machine learning pipelines in Vertex AI
- Collaborate with data scientists and engineers to deploy, monitor, and optimize ML models in production
- Ensure data integrity, pipeline efficiency, and scalability of AI workflows
- Troubleshoot and resolve issues in ML pipeline performance and deployment
- Contribute to the continuous improvement of AI operations processes and tool
What You'll bring along
- University Degree in Computer Science, or a related field
- Minimum of 3-5 years of experience in a similar role
- Experience building and running Vertex AI pipelines
- Proficiency in Python and SQL for data processing and pipeline development
- Strong understanding of data science principles and methodologies
- Hands-on experience building and managing machine learning pipelines
- Nice to have: experience with cloud platforms, preferably Google Cloud Platform (GCP)
- Familiarity with BigQuery for large-scale data querying and analytics
- Knowledge of Vertex AI for end-to-end ML workflow management
- Experience with Airflow or similar orchestration tools
- Background in data engineering, including ETL processes and data pipeline optimization
- Familiarity with Terraform for infrastructure-as-code and cloud resource management
- Proficiency in English speaking and writing
