
Mlops Intern
1 week ago
Location: Singapore, Singapore
In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.
Thales established its presence in Singapore in 1973 to support the expansion of aerospace-related activities in the Asia-Pacific region. Throughout the last four decades, the company grew from strength to strength and is today involved in the primary businesses of Aerospace (including Air Traffic Management), Defence & Security, Ground Transportation and Digital Identity & Security. Thales today employs over 2,100 people in Singapore across all its business areas.
**TOPIC : Machine-learning Operation (MLOps): Proof-of-concept to Production**
**Description**:
**Specific Responsibilities**
- Set up open-source observability tool on our MLOps platform
- Develop template-based dashboard
- Help platform users to optimize MLOps leveraging insights from operation data
**Key Requirements**
- Keen interest in AI, either in the model design / training / validation / optimization or in the continuous integration / deployment (CI/CD) of the models to production environment
- Skills in scripting / programming (Linux / PowerShell shell script, Python)
- Some experience as sysadmin
**Expected Outcomes**
- One or more observability tools up and running on our existing MLOps platform
- One or more demos of the following use cases
- Layman illustration of up-to-the-minute project bill (resource hours)
- Recommendation of inefficient use of resources
- Detection and alert of abnormal resource trend
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