Machine Learning Engineer to Mpya Sci & Tech

Machine Learning Engineer to Mpya Sci & Tech

Arbetsbeskrivning

Mpya Sci & Tech är skapat av och för människor som älskar teknik och naturvetenskap. Vi är inte här för att göra något som alla andra gör. Vi tar nischad rekrytering och konsulting till en ny nivå med fokus på kandidatperspektivet. Det är därför vi kallar oss Talent Advisors. Vi tror att de riktiga talangerna är de individer som vågar utvecklas genom hela livet. Med lång erfarenhet och djup kunskap om branschen har vi skapat ett framåtlutat och spetsigt bolag, på vårt sätt.

På Mpya Sci & Tech tror vi på ett hållbart arbetsliv där vi tillsammans bygger en kultur med genuin delaktighet, ivrig nyfikenhet och möjlighet att få vara sig själv. Kom och utvecklas ihop med oss i Göteborg och Stockholm. Hos en arbetsgivare i världsklass

Mpya Sci & Tech has started a journey and we want you to ride along!

What characterizes us is curiosity, inclusive leadership and an allowing environment where everyone can be who they are. Is this something you want to be a part of and contribute to? If you are looking for an employer characterized by a strong culture, work-life balance and with favorable conditions for you as a consultant, then you have probably found the right one!

Our offer

Great opportunities together with your colleagues to develop Mpya Sci & Tech and come up with ideas and input. Coaching together with our Talent Advisors to ensure that you meet your career goals through new and interesting assignments or by taking on a greater role within the company. Access to mentors and networks within your technology branch where exchanges take place at various events and joint activities regularly. We offer a competitive and flexible employment package where you set the framework for what is important to you and your particular life situation.

Role overview

We are looking for an experienced machine learning engineer to join our team in Gothenburg.

This role is for you who are fascinated by the power of autonomous learning within a provided dataset.

Responsibilities

• Bringing state of the art research into production
• Testing software in controlled, real-life situation
• Create tools for measuring model quality and accuracy
• Manage requirement and communicate with stakeholders

Skills and Qualifications

• Masters/PhD in Computer Science, Mathematics, Machine Learning or related fields
• 2+ years professional experience in the machine learning field: autonomous driving, medtech, pharma, fintech, natural language processing etc
• Experience on programming languages like Python, C++
• Experience on machine learning frameworks like Tensorflow/PyTorch
• Excellent verbal and written communication in English
• Problem solving skills
• Thirst for learning and be challenged
• Experience with big data analytic tools like Hadoop, R, etc and databases is a plus.

About us at Mpya Sci & Tech

Mpya Sci & Tech is created by and for people who love technology and science. We are not here to do what everyone else is doing. We take niche recruitment and consulting to a new level with a focus on the candidate's perspective. That is why we are Talent Advisors. We believe that the real talents are the individuals who dare to develop throughout their lives. With long experience and deep knowledge of the industry, we have created a forward leaning and edgy company, in our own way.

At Mpya Sci & Tech, we believe in a sustainable work life where we together build a culture where you can Be excitedly curious, Be inclusive and allowing and Be who you are. Come and flourish together with us in Gothenburg, Stockholm and Uppsala. At a world-class employer.

Contact

For questions about the position, you are most welcome to contact Talent Advisor David Rüdel, 070-955 00 28. We interview continuously so do not delay with your application. Apply for the position at www.mpyascitech.com.

Sammanfattning

  • Arbetsplats: Mpya Sci & Tech
  • 1 plats
  • Tills vidare
  • Heltid
  • Fast månads- vecko- eller timlön
  • Publicerat: 2 september 2021
  • Ansök senast: 30 september 2021

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