We are a Machine Learning consulting company that builds end-to-end Machine Learning solutions. By applying the latest AI research, we keep our clients at the forefront of innovation.
If you are interested check out: https://www.ml6.eu/resources/resource-library and https://www.ml6.eu/client-cases
Work on innovative projects for the biggest clients across Europe such as Randstad, ASML, FUNKE, and many more! Whether it’s about leveraging LLMs to improve customer support, building data lakes on cloud platforms to improve storage or implementing models using sensor data for quality control. You can find it all at ML6.
You will mostly work with Python and a range of ML frameworks such as TensorFlow, PyTorch, or HuggingFace Transformers to solve hard Machine Learning tasks and help bring these application into production by building data pipelines and cloud infrastructure on all of the major cloud providers (GCP, AWS, Azure).
We are looking for:
• (Senior) Data Engineer
• (Senior) Software Engineer
• (Senior) Machine Learning Engineer
• Alliance Manager – Azure
• AI Client Executive
• AI Client Partner
• AI Project Manager
• Talent Partner
Apply at: https://ml6.eu/join-us
Location: West coast Canada.
Remote: Yes.
Technologies: Machine learning, Python, Tensorflow/Keras/pytorch, spark, Scala, AWS, kafka, HDFS, etc. A whole host of technologies over 20 year career. email in profile.
I'm an experienced Data scientist, who's worked on a bunch of interesting projects. With Covid I've come to realize I need to work in public more often.
So an ideal fit would be a small/medium company with hair on fire problems that need solving that I can talk about publicly.
What sort of problems do I like?
A Taxi company in latam hired me to built a fleet maintenance system. It predicted and scheduled preventative maintenance to reduce wear and tear and avoid breakdowns. We also identified the leading cause of wear - leadfoot drivers. So we built a system that would identify aggressive driving.
Another example was a speculative sports highlights annotation system I built with a consultancy. It ingested sports video and identified predetermined highlights in baseball - diving catches in our case. The ML pipeline was a CNN model which fed into an RNN. Given a bunch of video clips of diving catches as training data, it could later identify those diving catches and automatically annotate the video feeds.
Who shouldn't contact me.
If your market is Ads or gambling I'm not interested. Sure there's lot of money, but I'd rather sleep at night. Thanks.