Machine Learning Engineer

Sioux Technologies GmbH -
Eindhoven

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Vacaturegegevens

Fulltime
4 dagen geleden

Secundaire arbeidsvoorwaarden

Budget voor professionele ontwikkeling

Kwalificaties

Doctor
Informatica
Wiskunde
Master
Analytisch vermogen
Presentatievaardigheden
Natuurkunde
AI

Volledige vacaturetekst

Full time

Master

Eindhoven

As a Machine Learning Engineer you apply mathematics for high-tech products and machines.

In this role, you use machine learning, mathematics and physics to solve real world problems within a very large variety of markets: warehousing, automotive, machine building, semicon, agro, medical technology and more. By applying the latest scientific insights, you play a guiding role in bringing high-tech solutions to life within the Brainport region and beyond, from creating a live dance show with drones, to optimizing the garbage collection of an entire city.

What excites you as a Machine Learning Engineer?

From our office in Eindhoven and sometimes at our clients' premises you like to keep yourself busy with:

Applying mathematics, physics and in particular AI and machine learning to solve complex real-world problems
Translating customer needs into analytical problems and practical software solutions
Designing and developing algorithms, models and AI-driven solutions for various high-tech applications
Following and exploring the latest technological developments in your field, e.g. in machine learning and (generative) AI
Collaborating with multidisciplinary teams and customers to develop innovative solutions
Presenting results to audiences with varying levels of technical expertise
Working alongside passionate colleagues, exchanging ideas and knowledge to learn from each other, and enjoying the process together

Sounds good so far? We'd love to tell you more…

This is what you bring to the table

Master’s degree or PhD in Mathematics, Physics, Computer Science, Engineering (e.g. Electrical, Mechanical) or another relevant field
Strong analytical and problem-solving skills with the ability to translate complex concepts into practical solutions
Experience with developing machine learning models through industrial or academic projects, internships, and/or personal initiatives
Strong programming skills and familiarity with machine learning frameworks and scientific computing tools
Experience with Generative AI, Large Language Models and Agentic AI is considered a big plus
Curiosity and eagerness to learn new technologies and switch between a wide range of high-tech domains
Strong communication and presentation skills, with the ability to explain technical concepts in a clear and engaging way

This is what you can expect in return from Sioux

Flexible 32-40 hour working week, with room to work from home.
A healthy work-life balance is very important to us. We have 28 holidays with an option to buy an additional 12 holidays.
You will work with passionate colleagues who share your drive for technology and business success.
By combining our expertise in software, electronics, mechanics, mechatronics, mathematics and assembly, we make the impossible possible for our customers and get to work on challenging high-tech projects.
You get a lot of freedom and responsibility; after all, you know exactly what you are doing.
Personal coaching and a training budget of €6000 per year, so that you can continue to develop yourself.
We also find it important to have fun together. We organize a lot for our employees, from family festivals and sparkling Christmas parties, to inspiring knowledge sessions for the high-tech community.
Our Sioux office is located in a prime location in the heart of the Brainport region. At our main office you can enjoy lunch, sports, making music, and sharing your knowledge with colleagues in one of our Tech Labs.

High Tech & High Fun

We can tell you all about the typical Sioux culture and the high-tech challenging projects. About how you can develop yourself, like nowhere else. But we’d rather have you hear it from our own employees.

Go to testimonials >

If you want to know more about our challenging projects, please click here.

Important note:

This position requires access to controlled technology, as defined in the US Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require Sioux to proceed with candidates who are immediately eligible to access controlled technology.

This application will be closed on August 9th and applications will be processed afterwards.

Are you interested?

Your new job in 5 steps

Thank you for your interest. We are happy to share our selection process with you. Below you will find the steps we go through. If you have any questions, feel free to contact us. We wish you the best of luck with your application at Sioux Technologies!

Interested?
- Send us your CV and motivation letter.
Application received
- One of our recruiters will review your application and get back to you asap.
Introduction
- We will plan an (online) introduction with a Sioux colleague to find out if there is a match.
Follow-up conversation(s)
- In follow-up conversation(s), we dive into the (technical) depth. In some cases a personality test will be part of the conversation and will be discussed with you. In other cases you will be presented with a (technical) case.
Both excited?
- If we are both enthusiastic, we would like to make you an offer. We will talk you through the offer and discuss it with you. Are you already curious about our terms of employment? You can find them here for the Netherlands, Belgium, Germany.
Welcome to Sioux Technologies!
- We welcome you to Sioux and wish you success with your new challenge!

Privacy Notice for applicants

Pre-employment screening and background checks might be part of your application procedure.

Your personal information is managed in compliance with the GDPR regulations.

Ruben Kwant

Talent acquisition
+31 (0)40 - 26 77 100

[email protected]

Nu solliciteren

As a Machine Learning Engineer you apply mathematics for high-tech products and machines.

What excites you as a Machine Learning Engineer?

This is what you bring to the table

This is what you can expect in return from Sioux

High Tech & High Fun

Important note:

Your new job in 5 steps

Ruben Kwant

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