ML Engineer
Overview
We’re looking for an ML Engineer who enjoys working in an agile environment, working on modern micro-service applications, and who are passionate about technology to join our expanding team in Singapore and Hong Kong.
We utilize Agile, Scrum methodology in DevOps environment, building Micro Services with containerization hosted on AWS. The role reports to the Head of Development and will also be working closely with the Product Manager.
What we are looking for:
- Candidates should have experience working in a development environment and across a range of skillsets. You’ll be building the stack that hosts our AI models.
- Knowledge on Python programming and concept of OOP
- Good knowledge on image preprocessing using opencv(cv2)
- Good knowledge on Text processing – English using regex, and Pandas
- Basic knowledge on Javascript
- Able to understand Database Concept and database stack (MySQL, Postgres)
- Fundamental knowledge on Microservices
- Fundamental knowledge Container system (Docker)
- Fundamental knowledge on Git version control
- Candidates should be able to demonstrate experience with some of the tools outlined above and experience working within a DevOps environment.
Our technology stack includes the following:
- Node.js
- ReactJS
- MongoDB
- SQL Database System (MySQL, Postgres)
- No-SQL (GraphQL, DynamoDB)
- Microservices
- Container system
- Git version control
- Cloud architecture, specifically AWS (S3, EC2) and Azure
Company Benefits
- Share scheme
- Company pension
- Office snacks
- Healthcare
Application Process
- Phone interview
- Technical case study and test with Head of Development
- Team Interview
- CTO meeting
About Delvify
Delvify is a pioneer in natively built AI tools. Headquartered in Hong Kong with a research development hub in Singapore. We have over 30 years of management experiment with state-of-the-art computer vision, natural language processing, audio speech recognition, eCommerce and Programmatic Advertising.
Delvify embraces diversity and equal opportunity for everyone. We provide a safe and inclusive work environment. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills