Machine Learning Engineer - Göteborg
Core
Develop scalable and robust machine learning solutions across the full ML lifecycle, from experimentation to production deployment, serving business stakeholders.
Role type
Machine Learning Engineer
Builds
Production ML models, ML pipelines, and generative AI solutions (e.g., RAG)
Domain
Data & AI / Cloud (Azure)
Deliverable
production ML models
Required skills
Python, ML libraries (NumPy, Pandas, scikit-learn), feature engineering, statistical analysis, model evaluation and optimization, MLOps (CI/CD, versioning, automated retraining), API development, cloud services (Azure), vector databases, embeddings, generative AI (via careerplan.io/jobs/31273821-machine-learning-engineer-goteborg-at-kraftsam-rekrytering-bemanning-ab)
Preferred skills
Azure Machine Learning, RAG implementation
Technologies
Python, NumPy, Pandas, scikit-learn, Azure Machine Learning, vector databases, embeddings
Responsibilities
Develop and train machine learning models; perform feature engineering, data modeling, and statistical analysis; evaluate and optimize model performance; build, maintain, and evolve ML pipelines; deploy models to production and ensure stable operation; implement MLOps practices; expose models via APIs and integrate into business systems; collaborate with developers, data engineers, and stakeholders
Seniority
Mid-level (3+ years experience)