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Machine Learning Engineer (AI)
Описание вакансии
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TL;DR
Senior Machine Learning Engineer (AI): Taking on fullstack Machine Learning assignments, developing and training models in production, and building cloud platforms with an accent on GenAI development and cloud platform integration. Focus on diving into complex systems, influencing product direction, and delivering real impact.
Location: Fully remote, but candidates must be based in Sweden with Swedish citizenship, a valid work visa, temporary, or permanent residency.
Company
is one of Sweden's fastest-growing tech consultancies offering a blend of freelancing freedom and traditional employment security.
What you will do
- Take on fullstack Machine Learning assignments, from GenAI to developing and training models in production.
- Build cloud platforms where ML models can run.
- Work on assignments typically lasting 6–24 months across various industries.
- Dive into complex systems, ramp up quickly, and deliver significant impact.
- Influence product direction and foster a collaborative team culture.
Requirements
- About 4+ years of experience delivering results in Machine Learning.
- Proven track record of building and training ML models in production.
- Cloud experience (AWS, GCP, Azure, Docker, Kubernetes).
- Experience with 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.
- 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).
Culture & Benefits
- Gravity-Free Consulting combining freedom of freelancing with employment security.
- High salary with pension, insurance, paid vacation, and educational fund.
- Opportunity to work with innovative companies like Spotify, Visa, Mojang, and exciting startups.
- Diverse community of tech professionals representing 14+ nationalities.
- Lean and efficient organization with maximized compensation (typically +40% salary increase).
- All digital, fully remote for those who prefer.
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