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Tech Stack
Tools & technologiesApacheAWSAzureCloudDockerGoogle Cloud PlatformKubernetesPySparkPythonPyTorchSparkTensorflow
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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.
ATS Keywords
✓ Tailor your resumeApplicant 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