Job Requirements
5 - 10 years of experience
This job post is managed by
Heini V
Online 8 days ago
Skills
Job description for AI Engineer, Video and Conversational Interfaces at Truffle Technologies
We offer an exciting opportunity for an experienced and passionate Artificial Intelligence Engineer with strong technical foundation. You will be working on our flagship project in the recently set up artificial intelligence and machine learning stream.
You will have the opportunity to shape your own scope of work and focus on solving complex problems pertaining to machine learning driven recommendation engines and NLP, conversational / interactive AI interfaces, video manipulation, speech recognition, and various other artificial intelligence solutions. We offer you a great environment to learn, challenge yourself, and work on cutting edge technologies.
Responsibilities
- Develop 3D computer vision systems and interactive AI interfaces for our products
- End-to-end responsibility of deep learning and machine learning solutions from research, and design until build, and deployment
- Identify and implement the right AI technologies in perfect alignment with the underlying business problem
- Train, monitor and maintain machine learning models throughout the production pipeline
- Ensure excellent code quality and alignment with ethical standards for AI
Requirements
- At least Batchelor’s or similar degree in Computer Science, Engineering, Mathematics, Machine Learning, Data Analytics or another relevant field
- Strong technical background with understanding and hands-on experience in software programming (Python, Java, C++ or C)
- 5+ years of experience in developing production quality code in a professional software engineering role
- 3+ years of experience in an Artificial Intelligence Engineer role with exposure to deep learning and computer vision
- Hands-on experience in 3D computer vision and video content analysis algorithms such as image segmentation, 3D reconstruction, object and motion detection, tracking and classification convolution
- Demonstrated hands-on experience and expertise in building Deep Learning/Machine Learning solutions in production with PyTorch, Tensorflow or Keras
- Experience in data structures, manipulating data sets and data modelling
- Experience in working with AWS based cloud architectures
- Exposure to video based AI frameworks and libraries such as OpenCV, Marvin or Tracking
- Deep understanding of machine learning, deep learning, neural networks and advanced statistical techniques and knowledge of the recent advancements
- Strong problem solving and debugging skills
- Good communication skills in English
- Ability to work in a small team and independently
- Entrepreneurial and experimental mindset
- Positive can-do attitude and teamwork spirit
- Innate curiosity and passion to learn and develop your skills continuously
- Fast learner
Preferred qualifications
- Hands-on experience in AWS cloud and Machine Learning services
- Experience in DevOps and/or MLOps
- Practical experience in working in distributed Agile teams
- Practical experience in machine learning based recommendation systems (as opposed to pure rules-based systems)
- Knowledge of microservices based architectures
- Experience with AI based user interfaces and video-based solutions is desired
What we offer
We offer a fast-paced and fun start-up working environment where you’ll get to wear several hats, build your skills in multiple areas (if you wish), and be deeply involved in developing the company. You get:
- Friendly, passionate and enthusiastic colleagues
- Good work-life balance
- Flat hierarchy, trustful and open work culture fostering creativity
- Central office location in the heart of Singapore, next to City Hall MRT station
How to apply?
If you’re interested in becoming a part of our growing team, please apply by submitting your CV with a short summary, portfolio link showing your previous work (e.g. to App Store, Stack Overflow or Github), and your availability. Kindly note that only shortlisted candidates will be notified.