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268 points whoishiring | 1 comments | | HN request time: 0.206s | source

Please state the location and include REMOTE for remote work, REMOTE (US) or similar if the country is restricted, and ONSITE when remote work is not an option.

Please only post if you personally are part of the hiring company—no recruiting firms or job boards. One post per company. If it isn't a household name, explain what your company does.

Please only post if you are actively filling a position and are committed to responding to applicants.

Commenters: please don't reply to job posts to complain about something. It's off topic here.

Readers: please only email if you are personally interested in the job.

Searchers: try https://dheerajck.github.io/hnwhoishiring/, https://amber-williams.github.io/hackernews-whos-hiring/, http://nchelluri.github.io/hnjobs/, https://hnresumetojobs.com, https://hnhired.fly.dev, https://kennytilton.github.io/whoishiring/, https://hnjobs.emilburzo.com, or this (unofficial) Chrome extension: https://chromewebstore.google.com/detail/hn-hiring-pro/mpfal....

Don't miss these other fine threads:

Who wants to be hired? https://news.ycombinator.com/item?id=44434574

Freelancer? Seeking freelancer? https://news.ycombinator.com/item?id=44434575

1. konz ◴[] No.44437843[source]
ML6 | Machine Learning Engineer, Data Engineer | Python, TensorFlow, PyTorch, GCP, AWS, Azure | Full-time | Amsterdam, Berlin, Ghent (EU) On-site/hybrid

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/knowledge-hub/blog and https://www.ml6.eu/customers/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).

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