Datatonic

Senior Machine Learning Engineer

Datatonic

full-time

Posted on:

Location Type: Hybrid

Location: StockholmSweden

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About the role

  • Interpret vague requirements and develop models to solve real-world problems.
  • Conduct ML experiments using programming languages with machine learning libraries.
  • Leverage generative AI to develop innovative solutions.
  • Optimise machine learning solutions for performance and scalability.
  • Implement tailored machine learning code to meet specific needs.
  • Ensure efficient data flow between databases and backend systems.
  • Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.
  • Create machine learning architectures using Google Cloud tools and services.
  • Build and deploy production-grade software for machine learning and data-driven solutions.

Requirements

  • Multiple years experience as a Machine Learning Engineer, preferably with a consulting background.
  • Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.
  • Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.
  • Hands-on experience with foundational software engineering practices.
  • Strong knowledge of SQL for querying and managing data.
  • Experience scaling computations using GPUs or distributed computing systems.
  • Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).
  • Strong communication and presentation skills to effectively convey technical concepts.
Benefits
  • 30 days plus bank holidays (obviously!)
  • 4500 kr per year Healthcare Allowance (paid monthly, after probation)
  • Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice)
  • 1200 kr WFH Equipment Allowance (after probation)
  • Access to platforms like Udemy to fuel your curiosity.
  • Private Salary Sacrifice Pension available
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningPythonSQLCI/CDgenerative AIcloud computingGPU computingdistributed computingmachine learning architecturesautomated workflows
Soft Skills
communicationpresentationproblem-solvingcollaborationadaptabilitycritical thinkingattention to detailtime managementinterpersonal skillsanalytical skills