Job Description

About Ross Digital / Ratio.inc
: Founded by a team of senior level executives from Fortune 500 companies, our company is an F&B concept powered by robotics & automation. We are on a mission to innovate a new customer experience by offering a variety of beverages. From coffee to nitro tea to cocktails, our innovative robotics will deliver quality drinks with precision and speed. Funded by two of Singapore's top MNCs and a leading SEA conglomerate, we've already built and commercialized our robotic cafe/bar across China. Now, we're currently building our Singapore presence.
Due to our expanding business, we're looking for a
Senior Machine learning (Vision) Engineer
to join the team.
The Role:
This position is a newly created role to introduce and implement machine vision to further enhance the performance and reliability of the existing robotics and automation solutions. Work and collaborate with industry experts and scientist to realize and implement end-to-end solutions
Your responsibilities include
:
Responsibilities

• Lead and collaborate with local research institutes to drive and derive computer vision solutions to improve overall system performance
• Working with the raw image data, research, develop, evaluate, and optimize various computer vision and deep learning models for different F&B related automation applications
• Define and supervising the data acquisition process to build up training database
• Exploring and visualizing data acquired to identify features, differences in data distribution that could improve performance when deploying the model in the real world
• Analysing the errors of the model and designing strategies to overcome them
• Deploy machine vision models on edge devices after optimization to meet customer requirements and maintain them to later improve to address additional customer requirements in future.
• Defining validation strategies
• Deploying models to production

The core requirements we are looking for are as follows:

• MSc in Computer Science, Machine Learning or in related fields preferred but candidates with Bachelor's degree and relevant technical knowledge and experience in computer vision will be considered.
• At least 2 years of experience in computer vision and/or deep learning for object detection and tracking along with semantic or instance segmentation either in academic or industrial domain.
• In depth understanding and breadth of computer vision and deep learning algorithms.
• Strong foundation in data structures and algorithms in Python or C++
• Proficiency with a deep learning framework and tools such as TensorFlow or Keras
• Ability to select hardware to run an ML model with the required latency including exposure to IoT technology like edge computing principles and architecture preferably for Raspberry Pi.
• Experience in different model optimization techniques apart from hyperparameter tuning to reduce memory usage without hindering the performance for deploying on edge devices.
• Must be able to produce solutions independently in an organized manner and be able to work in a team
• Excellent written and verbal communication skills for effectively communicating with the team and ability to presenting information to varied technical and non-technical audience.
• Willing to learn and positive, can-do attitude

About You:
You are not a cog in the wheel. You want to build stuff that matter. You care about having ownership over your work. You are proud of what you do and create. You don't care about big company politics; you care about getting stuff done. You want to build the future, now.
You should have excellent interpersonal and communication skills, be able to work within cross-disciplinary teams, have superior technical and innovative ability supported by a broad knowledge and skill base, and a proven track record of successful executions, both as an individual contributor and in team settings.
Working at Ross Digital:
We value teamwork above individual accolade, we favour talent over experience and as a young company, we cherish a great can-do attitude over all else. At the end of the day, we all own a piece of what we are building together, contributing towards a vision bigger than ourselves. As we grow, we strive to maintain the open culture often associated with start-ups, each team member is a hands-on contributor to our growth with direct access to the senior team and founder. We pride ourselves on our product quality, creativity, and dedication.
If you enjoy the coffee culture, are curious about cocktail creations, want the world to use automation and robotics solution you help to deliver in the F&B industry and are interested in a young company in its "build" stage, then please come and join us! Check us out at
www.ratio.inc
!