Mlops Intern

2 days ago


Singapore Thales Full time

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**

**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 Outcome**
- Install and configure one or more of MLRuns / DVC-Studio / Kubeflow / MLFlow / AirFlow on an existing Kubernetes cluster
- Upgrade one or more existing standalone ML projects to take advantage of the platform above
- Demonstrate at least 2 of the following use cases (comparing outcomes with & without the platform)
- Run & track ML experiments in parallel (having different set of configs / data / hyperparameters)
- Deploy ML model as a serverless service
- Monitor deployed model with live data & detect deviation



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