Job Description

Machine Learning Engineer, Sensors & Machine Learning Lab
The Sensors & Machine Learning Lab is a new setup to support CAG business units in their innovation efforts, and accelerate operations transformation. We are seeking self-driven members to join this new team; a suitable candidate would be passionate about technology and enthusiastic about using his/her knowledge & skills in machine learning to make a difference.
You will be responsible for the end-to-end development & deployment of AI/ML pipelines. Application areas include video analytics, knowledge graph & NLP, predictive data analytics and anomaly detection. As a subject matter expert, you will also participate in initiatives to educate and upskill fellow colleagues.
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.

• At least 2 years of professional experience developing and deploying ML algorithms for enterprise applications, in areas such as video analytics, NLP, predictive data analytics and anomaly detection.
• 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.