Mid-level Machine Learning Engineer

Period from: 2026-06-22
Period to: 2027-01-31

Location: On-site in Stockholm minimum 4 days a week

Competence: Mid-level

Utilization: 100%

Job description:

We are looking for a mid-level consultant machine learning engineer in one of the product teams in supply chain.

Qualifications:

• Applicable working experience or Bachelor's or Master's degree in Computer Science, Machine 
  Learning or related technical field.
  • Solid understanding of software development principles, algorithms, data structures and design 
  patterns.
  • Deep knowledge in Python programming as well as knowledge of frameworks, other programming 
  languages and paradigms relevant to AI/ML development.
  • Solid understanding of common AI/ML algorithms and paradigms.
  • Familiarity with Agile development methodologies.
  • Experience with version control systems such as Git and MLOps.
  • Experience with Google cloud platform and cloud based development
  
  Role specific skills:
  
  • Ability to analyse, troubleshoot and resolve issues of varying complexity in existing AI/ML 
  solutions.
  • Good understanding of different phases in the AI/ML development lifecycle and ability 
  to contribute in each of the phases.
  • Understanding of different software testing methodologies and ability to suggest and implement 
  appropriate testing procedures.
  • Ability to communicate technical details, including writing user-stories, with the team 
  and different stakeholders to maintain transparency and clarity in the work.
  • Good understanding of different coding standards, best-practices and design patterns and ability 
  to fittingly apply these to solve complex problems and enhance code maintainability and 
  performance.
  • Possess a general understanding of different technology stacks and tools as well as ability to 
  make informed implementation decisions aligned with requirements and organisational 
  standards.
  • Ability to independently resolve technical challenges without significant assistance, while also 
  knowing when to seek help for more efficient problem-solving.