This is role is senior role, which will lead the 3 ML ops engineers squad efforts for digital data science team, not only need ownership but also need some leadership. Able to take the requirements working a solution independently, also communicate and make sure requirements are clear for both groups.
Which skills or tools are most critical for each level The Level 1 vs the Level 3? Are there specific experience levels expected for key skills?
Level 1 basic coding skill, and very responsible, able to understand the guidance and take action. 1+ year
Level 3 advanced system design skill, able to take the request put into action plan and guide and work with Level 1 together to come up with solutions. \>5 years
What are the primary and secondary skills required for MLOps and DevOps roles?
- Primary: Experience with GCP, and experience with model deployment, scheduling through vetex pipeline and model deployment
How do developers and data scientists typically collaborate within the Search Experience team?
Cooperated closely with slack, team meetings, join daily
Is there flexibility in working hours to support cross-regional collaboration?
We have core working hour 11am-2pm in PST, I would love all can support.Other time is flexible.
Build tools for automation around ML workflows orchestration and model deployments using CI/CD workflows
Automate infrastructure deployments and tool configurations using Terraform or similar IaC tools
Write clean, maintainable code in Python,Go and other object-oriented programming languages (e.g., Java).
Troubleshoot and resolve issues related to ML workflow deployments
Generate and maintain operational reporting pipeline through tools like big query, looker and tableau.
Collaborate with data scientist to improve developer workflows and ensure seamless integration with tools.
Skills:
Hands-on experience with Vertex AI, or other similar platforms like Amazon SageMager,
Understanding of different model and its model deployment, monitoring, and scaling in production environment
Proficiency in Python
Basic knowledge on reporting tools like Tableau, looker, big query (SQL)
Experience with Ecommerce, understand general digital ecommerce concepts
Experience with Kubernetes or other containerized orchestration platforms
Basic knowledge of cloud technologies (e.g., AWS, GCP)
Familiarity with security best practices in cloud and containerized environments.
Ability to write unit tests, integration tests, and provide clean, reusable code.
Passion for utilizing GenAI to reduce manual process