TI
1 Resource - Mountain View
Tranzeal Inc.
- 🇺🇸 United States
- On-site
- 10 months ago
- Python
- Docker
- Microservices
- Flask
- FastAPI
- Splunk
- AI
- AWS
10 months ago
- Python, Docker, ML Ops, and ML Engineering (mandatory). REST Microservices. Flask or FastAPI.
- 2+ years of experience maintaining legacy codebases
- Familiarity with model lifecycle management and production inference environments.
- Intermediate knowledge of ML model deployment and lifecycle management alongside standard python ML Packages
- Working knowledge of logging/monitoring tools (Splunk, Wavefront).
- Ability to collaborate cross-functionally
Scope of Work:
- Maintain existing models in e2e and production and fix Security Defects and P0/1 bugs.
- Perform debugging and input/output validation via ML Platform tooling and Splunk (per In-Season Support guidelines).
- Support DevPortal lifecycle updates
- Collaborate with the Horizon AI and C3 team to ensure smooth upstream/on/offboarding (IKS AIR/MSaaS dependencies).
- Assist with model deployment and package upgrades and asset modernization (DevPortal + repo cleanup)
- Document the RTB processes, including dependencies and replacement references for each model.
- Assist with model orchestration maintenance and service upgrades (DevPortal + repo cleanup + aws resources cleanup).
1 Resource - Mountain View · Tranzeal Inc.