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Ml Deployment Engineer, Innovation Line Driverless

2 weeks ago

Singapore Continental Full time

Your tasks

The role is for an ML deployment engineer to join the Innovation Line Driverless perception team in Singapore. In this role, you will be working on autonomous vehicles in a global team of researchers and experts in the domain. Your primary responsibilities will be in three areas,
- ML Deployment
- Optimize, deploy and maintain ML models and algorithms
- Build automated pipelines for the optimization and deployment of the models and algorithms.
- ML Monitoring
- Implement and monitor KPIs for any issues that arise with deployed models and algorithms.
- Work with perception engineers and vehicle engineering to troubleshoot models in production.
- Develop tests for improving reliability of models over time.
- MLOps Tooling
- Explore new technology and conduct experiments on their applicability to improve ML and deployment Ops over time.

**Profile**:

- A diploma, Bachelor's degree or higher in Computer Science, Electrical Engineering, Robotics Engineering or similar.
- Experience in Python and modern C++ (11/14/17) software development
- Experience working in Linux environment
- Experience with containerization and kubernetes
- Experience in data science and machine learning.
- Familiarity with machine learning frameworks such as TensorFlow or PyTorch.
- Strong team player
- Passion to learn new technologies and tooling.
- Excellent communication and interpersonal skills

Bonus points
- Familiarity with AV perception models, data and sensors
- Experience with middleware like ROS / eCAL
- Working in Agile teams

**Offer**:
***

**Keyfacts**:

Job ID
**REF25883X**

Location
**Singapore**

Leadership level
**Leading Self**

Job flexibility
**Hybrid Job**
- Legal Entity
- **Continental Automotive Singapore Pte. Ltd.