Machine Learning Engineer
Flux Systems · South Africa
- Type: part time
- Location: country — Singapore
- Compensation: CAD 43099–94981
- Timezone: UTC-1
About the role
About the Role
We are looking for a talented Machine Learning Engineer.
Requirements
- Node.js - Spark - TypeScript - Solidity - WebSocket - 2+ years experience - Remote-first mindset
Benefits
- Competitive salary - Flexible hours - Remote culture - Dev budget - Health insurance
What You Will Do As a Machine Learning Engineer on our team, you will leverage your expertise in Node.js and TypeScript to build and deploy scalable machine learning models. You will be instrumental in developing robust data pipelines using Spark, ensuring efficient processing and analysis of large datasets. A key aspect of your role will involve integrating machine learning functionalities with our blockchain infrastructure via Solidity and implementing real-time data streaming solutions using WebSocket technology.
Why Join Us Join a forward-thinking team that is at the cutting edge of integrating machine learning with decentralized technologies. We foster a collaborative and innovative environment where your contributions directly impact the evolution of our unique products. This part-time remote position offers a flexible work arrangement alongside opportunities for professional growth as we scale our operations.
Who You Are You are a proactive and detail-oriented Machine Learning Engineer who thrives in a dynamic, remote setting. Your strong analytical skills are complemented by your ability to effectively communicate complex technical concepts. You are passionate about building efficient systems and have a proven track record of working with technologies like Node.js, Spark, TypeScript, Solidity, and WebSocket, bringing a problem-solving mindset to every challenge.
Required skills
- Node.js
- Spark
- TypeScript
- Solidity
- WebSocket
About Flux Systems
Flux Systems builds innovative green energy solutions for global teams.