Machine Learning Engineer - Sweden 🇸🇪
Tasks
- Analyze problems and plan solutions
- Build and optimize data pipelines
- Deploy ML and LLM models to production
- Develop and fine-tune ML and LLM models
- Develop and integrate model APIs
- Evaluate model performance
- Monitor deployed models and optimize performance
- Perform feature engineering
- Preprocess data and create datasets
- Reformulate business challenges as ML problems
- Validate results and improve model interpretability
Perks/Benefits
- Flexible work environment
- Growth and development
- Healthy work-life balance
- Kickoff events
- Knowledge sharing culture
- Ski trip
- Work on real critical problems
- Work visa required
- Yearly health checks
Skills/Tech-stack
AWS | AWS Step Functions | Airflow | Amazon SageMaker | Azure | Azure Machine Learning | CI/CD | CrewAI | DVC | Docker | Elasticsearch | Feature Engineering | GCP | GitHub Actions | Kubernetes | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Prompt engineering | Python | R | RAG | Redis | Relational databases | Retrieval-Augmented Generation | Scikit-learn | Step Functions | Terraform | Vector Databases | VertexAI
Education
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