Coody.io

Machine Learning Engineer

Coody.io

full-time

Posted on:

Location Type: Hybrid

Location: Stockholm • Sweden

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Tech Stack

ApacheAWSAzureCloudDockerGoogle Cloud PlatformKubernetesPySparkPythonPyTorchSparkTensorflow

About the role

  • Take on fullstack Machine Learning Assignments covering the full spectra from GenAI, developing and training models in production, and building cloud platforms where they can run.
  • Each assignment is 6–24 months and will give you both broadness and deepness from various industries and companies.
  • Often, we play a key role for the project, product and team we work in.
  • You will dive into complex systems, ramping up fast, and delivering real impact from day one.
  • Beyond coding and training models, you’ll influence product direction, and fostering a collaborative, high-trust team culture.

Requirements

  • About 4+ years of experience
  • A track-record of building and training ML models in production
  • Cloud experience (AWS, GCP, Azure, Docker, Kubernetes)
  • Experience with commonly used data tools (e.g., Spark, Dask, PySpark, Apache Beam)
  • Expertise in Python and modern ML/AI libraries (PyTorch/TensorFlow, Transformers, LangChain, LangGraph, Vertex AI)
  • Strong understanding of ML infrastructure: deployment, monitoring, debugging, optimization
  • A degree in Computer Science, Engineering, Mathematics, Statistics, or similar
  • Must be based in Sweden with a Swedish citizenship, a valid work visa, temporary or permanent residency
  • Fluent in English (spoken and written).
Benefits
  • Maximized Compensation. Typically a +40% salary increase.
  • Freedom & Flexibility. No bosses. All digital. Fully remote for those who prefer.
  • Employment Security. High salary, pension, insurance, paid vacation and a big educational fund.
  • Shape the Future. Projects and assignments for digital game changers like Spotify, Hemnet, Visa, Tobii, Toca Boca, Mojang, Flightradar24, SJ, and exciting startups and scaleups.
Applicant Tracking System Keywords

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

Hard Skills & Tools
Machine Learningmodel trainingcloud platformsPythonPyTorchTensorFlowSparkDaskPySparkApache Beam
Soft Skills
collaborationinfluenceteam cultureproblem-solvingadaptability