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Machine Learning Engineer, Sensors
2 weeks ago
**Machine Learning Engineer, Sensors & Machine Learning Lab**
Team members in the Sensors & Machine Learning Lab will have the autonomy and support to experiment with emerging technologies and upgrade themselves professionally. There will be ample opportunities to demonstrate your expertise in solving business challenges, conduct research & development, and engage like-minded professionals.
**Responsibilities**:
- Design, develop & deploy customised and scalable ML algorithms as part of the end-to-end AI/ML pipeline. Application areas include video analytics, knowledge graph/NLP, predictive data analytics and anomaly detection.
- Optimise & deploy ML algorithms on edge devices (Raspberry Pi, Jetson Nano, or similar SBCs) and cloud platforms (e.g. AWS).
- Support Product Managers to engage business users to discover transformation opportunities, and propose ML solutions which could enhance operations, such as to raise productivity or enhance decision-making.
- Stay relevant in the latest technologies and trends in AI/ML. Drive the development of machine learning capabilities, including set up of sandboxes to facilitate ML development.
- Support company-wide initiatives to inspire and upskill colleagues.
Preferred Requirements:
- Degree in computer science, engineering, or equivalent practical experience.
- Familiar with ML frameworks such as TensorFlow and PyTorch.
- Proficiency in Python programming is required. Familiarity with Amazon SageMaker would be advantageous.
- Passionate about technology and enthuse about solving challenging problems.
- Excellent team-player who can collaborate well with both internal stakeholders & external partners.