Machine Learning Engineer
Workplace: Stockholm, Sweden
Expires: November 3, 2025
Join Coody AB as a Machine Learning Engineer to work on innovative AI projects building scalable machine learning models and infrastructure in cloud environments. Enjoy a flexible, consultant-first environment with excellent compensation and employment security.
Main requirements:
  • Minimum 3-4 years experience delivering machine learning models in production
  • Cloud experience such as AWS, Google Cloud, Kubernetes
  • Experience with distributed data tools like Spark, Dask, PySpark, Apache Beam
  • Expertise in Python and ML/AI libraries including PyTorch, TensorFlow, Transformers, LangChain, LangGraph, Vertex AI
  • Strong knowledge of ML infrastructure including deployment, monitoring, debugging, and optimization
  • Degree in Computer Science, Engineering, Mathematics, Statistics or related field
  • Based in Sweden with Swedish citizenship, valid work visa or permanent residency
  • Fluent in spoken and written English
Responsibilities:
  • Design, develop, and deploy scalable machine learning products
  • Build and maintain infrastructure and tooling for data scientists
  • Collaborate with cross-functional teams to integrate ML solutions into production
  • Monitor and maintain ML model performance and reliability post-deployment
  • Stay up-to-date with latest machine learning advancements
  • Collaborate with clients and support colleagues, contribute to knowledge sharing
Required hard skills:
  • Machine Learning model development and production deployment
  • Cloud platforms (AWS, Google Cloud)
  • Containerization and orchestration (Kubernetes)
  • Distributed data processing tools (Spark, Dask, PySpark, Apache Beam)
  • Python programming
  • ML frameworks (PyTorch, TensorFlow)
  • Advanced ML libraries (Transformers, LangChain, LangGraph, Vertex AI)
  • ML infrastructure: deployment, monitoring, debugging, optimization
Soft skills:
  • Collaboration
  • Communication
  • Continuous learning mindset
  • Client engagement
Coding languages:
  • Python
Frameworks:
  • PyTorch
  • TensorFlow
  • Transformers
  • LangChain
  • LangGraph
  • Vertex AI
Natural languages:
  • English (Proficient)
  • Swedish (Working knowledge)
Cultural skills:
  • Remote work and digital collaboration
  • Consultant-first mindset
  • Flexibility and independence in work