Ny tjänst: Experienced Machine Learning Engineer (text på engelska)

To accelerate our business value realization from data science and to continue building Machine Learning/Deep Learning and Artificial Intelligence capabilities, we are looking for an experienced data scientist with an edge in DevOps and SW development.

About the job

Chalmers Industriteknik is a business that offers academic high-end skills in a consulting format within the business areas energy, material, digitalization, design and circular economy. We have 3 specialized subsidiaries within design and energy management. We are around a 100 people who are passionate about creating high-end technological solutions to challenges facing society today.  We are working to get tomorrow ready for the future and would like you to join us on the journey.

As member of the digitalization group at Chalmers Industriteknik, you will be part of a highly prioritized, fast growing focus area within Chalmers Industriteknik tasked with helping industry take advantage of the advantages AI and Machine Learning offers. Every day is different, and we work with clients ranging from start-ups to global companies.

What you need to thrive here
You have a genuine interest in helping society, a structured approach towards data mining, a deep understanding of appropriate analytical algorithms and models and broad experience in leveraging relevant tools and methods. We expect you to have good knowledge in programming languages or high-level scripting such as Python and R and an interest and even better experience in automation.

You will be part of and contribute to building a strong team in a creative environment in combination with genuine interest in solving complex business challenges and a structured approach to apply innovative analytics tools and technologies together with your team.

Who you might be?

You are problem solver with a strong interest in innovation and have a real can-do attitude.
You are comfortable communicating the result of your work and enjoy a collaborative work environment.
You might not speak Swedish yet, but we hope you would like to learn
We would especially encourage female applicants
A PhD within a relevant field is a merit

What we would hope you know

  • Computer science/engineering fundamentals
  • ML/Deep Learning toolkit, supervised and unsupervised learning
  • Statistical modelling and optimization
  • Programming (Python, R, Scala or Java)
  • Data visualization and storytelling
  • Agile development methodology

What would be great if you also have

  • Computer perception technologies (vision, speech and text)
  • Deep learning technologies/frameworks such as TensorFlow, Keras, PyTorch
  • Reinforcement learning
  • Web technologies, micro-services and API development

What you may have worked with previously
You have +4 years of experience from roles such as ML Engineer, Data Scientist, DevOps Engineer or SW backend developer. You have a master/PHD degree in mathematics/statistics, applied physics or computer science

Why work at Chalmers Industriteknik

You will be part of solving challenges that face society today. This is not just empty talk; we live like we learn and sustainability is very important in our day-to-day business.  The learning potential is endless. You will work on a wide range of projects from helping start-ups succeed in their AI ventures to strengthening AI readiness in Sweden and EU. The digitalization group is still young, and you will have a great influence in shaping your own workplace.

If you are interested to know more please contact Director of Digitalization Nils Wirell at nils.wirell@industriteknik.se or 0708 88 68 93.

Please note we have chosen a recruitment media and are not interested in hearing from agencies or buying job-advertisements.

The position is based in Gothenburg, Sweden. EU-work authorization is required, and no relocation is offered.

 

More news
News | 31 January 2024
New report: Optimization of algae cultivation using AI to significantly reduce methane emission from cattle
News | 21 December 2023
Wishing you a joyful holiday season and a successful New Year
News | 03 October 2023
New project: Co-Creating Better Blue (C2B2)

Quench your thirst for knowledge with exciting reading

Be among the first to learn about new research in the areas of Circular Economy, Applied AI, Innovation Management, Energy, and Materials. In our newsletter, we share innovative techniques and projects that make a noticeable difference in society. You will also receive tips and invitations to interesting seminars and events within our field.