Open

Machine Learning Engineer

Posted 4 months ago by Karolina Edensten
Stockholm
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Job Description

  • In this role the main responsibility is setting up production pipelines for ML models, by following and improving reference architecture and best practices in the AI domain.
  • With your experience you would be expected to help the team in decisions and discussions around our team’s pipelines, infrastructure, architecture, performance optimization.
  • Our team consists of Data Scientists, Data Analysts, Data Engineers and Machine Learning Engineers and we believe we all should be a part of how we drive the most value of our product. You will be a valuable team member where your focus will be design, develop and maintain the large-scale data infrastructure required for the machine learning projects
  • Leverage on understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code
  • Work in cross-functional agile team of highly skilled engineers, data scientists, business stakeholders to build the AI ecosystem within H&M

 

Required skills: 

  • Have a degree within software engineering or similar field (e.g. computer science and programming) and a strong will to continuously develop your engineering skillset
  • Python, spark, azure cloud experience
  • Recommender system experience will be highly meriting
  • Are a hands-on person, love coding as much as breathing and would like to deploy software engineering practice into machine learning projects
  • have 4+ years working experience in developing machine learning products
  • have experience with handling high volume heterogeneous data and good understanding about data storage and data structure would be a big plus
  • As we work in a highly ambiguous area, we should always evaluate our path forward, and for this to happen we believe you should be humble yet decision oriented.
  • have experience in agile environment, team collaboration, data-driven development, reliable and responsible experimentation

 

 

Tools/software:

  • Databricks 
  • Azure
  • MLflow

 

 

Required language skills:

English