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Machine Learning Engineer
  • Warszawa
Machine Learning Engineer
Warszawa, Warszawa, Województwo mazowieckie, Polska
Holisticon Connect
10. 10. 2024
Informacje o stanowisku

Holisticon Connect is a division within NEXER GROUP - a custom software development company. We started in Poland in 2017 and are now a team of over 180 people with offices in Wrocław, Warsaw, and Cracow. We have the opportunity to work with world-renowned brands from Scandinavia, the UK, and Western Europe. Our goal is to grow stronger, in competence rather than in numbers. If you like what we do, check out our offer, maybe we will have the pleasure of meeting you!  


We are looking for Machine Learning Engineer to join the ML team. Our client is Swedish clothing company. In this role YOU WILL:

  • Develop AI/ML software products by exploring data, testing algorithms, performing feature engineering, evaluating model output, and deploying solutions for production and scaling within the companys fashion network.
  • Design, develop, and maintain large-scale data infrastructure for AI/ML projects.
  • Write scalable, maintainable code using software architecture and design patterns.
  • Develop solutions, components, and frameworks for tasks like feature reuse, model traceability, and A/B testing.
  • Collaborate with engineers, data scientists, and business stakeholders in an agile team to build the companys AI ecosystem.


We offer a choice of employment form: B2B or Employment Contract 

  • UoP: 15 000 – 18 000 PLN gross/month
  • B2B: 130 – 150 PLN net/hour + VAT


You might be the perfect match if you are/have:

  • 4+ years of experience as a Machine Learning Engineer or in a similar role.
  • Skilled in Python, with 3+ years of coding experience in modern programming languages.
  • Experienced with cloud technologies for ML development (Google Cloud preferred) and have a relevant cloud certification (Azure or GCP).
  • Developed software products successfully deployed to production.
  • Know MLOps practices well, including building ML pipelines and deploying applications to production.
  • A strong understanding of AI/ML techniques and frameworks.
  • Comfortable working with large-scale data (batch and streaming) and have a solid grasp of data structures, databases, and storage technologies.
  • A BSc or MSc in computer science, engineering, or a related field, or equivalent practical experience.
  • Love hands-on coding and applying software engineering practices to machine learning projects.
  • Enjoy working in an agile environment, collaborating with teams, and driving data-driven development and experimentation.

By joining us, you gain the following: 

  • Opportunity to work on exciting, international projects in cutting-edge industries like Automotive, Biotech, IoT; 
  • Possibility to develop in cloud technologies. We are a certified AWS partner;
  • Becoming part of a team that believes that the next step to a promising future is to put your heart into it and make it happen; 
  • Respect for your private life so you dont have to work overtime or on weekends; 
  • Team Events budget to socialize outside of work; 
  • Company Events to celebrate smaller and bigger successes (Summer Party, Programmers Day, and trips abroad – so far weve been in Cape Town, Are, and Barcelona). 


Perks and benefits: 

  • Fully remote work or in our office in Wrocław, Warsaw or Cracow; 
  • Free benefits such as LuxmedMultisport, and life insurance in Nationale Nederlanden
  • Attractive referral system (9,5k for senior, 6k for mid, 2,5k for junior); 
  • Personal Training Budget with additional paid hours; 
  • Passion Day - an extra day off for your hobby to spend as you please; 
  • Flexible working hours with no micro-management approach. Our core hours are 9-15, the rest of the working time is up to you; 
  • We provide high-quality work equipment + 2 additional monitors and accessories. 


If you apply for this position and match our expectations, then: 

1) You will be invited to an HR Screening with our IT Recruiter. 

20 You will have technical interview.

2) You will meet with a client. 


Submit your application online in one easy step! Apply now! 

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