Machine Learning Engineer
Twine, United Kingdom
Job Description
About Twine
We're a thriving ecosystem of top-tier freelancers from around the world. Trusted by Fortune 500 companies and Silicon Valley startups, Twine is the go-to platform for mission-critical projects. Twine's experts get to participate in generating quality datasets at an unprecedented scale. With over half a million registered freelancers and a growing roster of 35,000+ companies, we've become the comprehensive solution for freelancing.
Our Mission
At Twine, we recognise that companies require a flexible approach to hiring expert freelancers for their most critical projects. Traditional freelance platforms often fall short when it comes to scalability and diversity. That's where we shine. Twine operates as a thriving global freelance network, with diverse experts across various fields, including marketing, engineering, and AI. Our core mission is to empower creators, whether they're businesses or individual freelancers, to thrive in their creative endeavours.
About the Role
We are seeking Machine Learning Engineer for a comoany specialising in the development of next-generation mobile/hand-held devices. This role offers the chance to work on groundbreaking projects with real-world impact.
- Developing features and functionality across the AI stack, spanning from frameworks to applications.
- Engaging with cutting-edge AI models in various domains, including Speech and NLP.
- Proposing and prototyping innovative ideas/solutions while considering practical constraints.
- Contributing to software architecture planning and implementing software engineering best practices.
- Staying updated on the latest tools, techniques, and frameworks in AI.
- Taking technical ownership of significant project sections and translating complex requirements into detailed designs.
Requirements
- Proven software development experience with C++ and Python (Java/Kotlin considered advantageous).
- Proficiency in machine learning frameworks like Tensorflow/Pytorch.
- Experience in developing end-to-end AI pipelines and deploying AI models, preferably in mobile/embedded systems.
- Strong fundamentals in computer science and engineering, including knowledge of OS and Compiler.
- Familiarity with optimisation methods, code profiling, and debugging.
- Proficient in software engineering practices and tools such as Git, CI, Agile, etc.
- Master’s degree or higher in Computer Science/Engineering or related fields.
- Excellent communication, teamwork, problem-solving, and results-oriented attitude.