ML Developer job
UK-based, Cutting-edge Sport Technology company is looking for a Python Machine Learning Engineer to develop a machine learning model for their innovative technology to evolve autonomously. This person will develop image processing algorithms and enhance the AI platform while being involved in the full lifecycle development of projects and building complex tools.
Essential skills:
- An expert in ML libraries, ML algorithms and techniques
- Expert in Python/Pytorch
- Demonstrable experience in solving complex problems
- Independent thinker whose able to tackle complex problems and push boundaries to solve them
- Ability to coach and mentor junior members of the computer vision team
- This role requires 40 hours per week.
Appropriate proposal
Hey. I've worked as a full-stack ML engineer for projects like serverless stable diffusion https://tornikeo.github.io/projects/serverless_diffusion/ and web-based pose estimation https://tornikeo.github.io/projects/pose_estim/. Can create working products given just business objectives and funding.
Let's have a meeting to see if I'm the right fit for this,
All the best,
TornikeO
Analysis
Links to your work are the single most importnt thing to get the client to sit down.
Be quick! a client gets lots of offers, they only have time to read the first 10 words or so.
Always suggest to "have a quick meeting" in the end - if client is interested, that's the first most likely thing to do, either way.
Outcomes
542 hours, $30,500.00 earned
Notes:- During initial meeting I walked the interviewer through applications I developed for showcase, and some past projects that had flashy visuals (interviewers are rarely tech people, so visuals are a must)
- Work actually never required a 40 hours full-time commitment
- Work didn't actually require an expert - they just needed provable experience (which just means having links to your work).
- First project was closely related to "stable diffusion". The client wanted an SD GUI built on SDUI
- Later projects ranged from writing CUDA kernels for metabolomics to making a robot brain for automatic nanomaterial assembly. Wild stuff!