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Junior Machine Learning Engineer
Responsibilities
- Develop, train, and optimize machine learning models for various business use cases.
- Prepare and transform data for use in analytical models.
- Integrate ML models into production pipelines, ensuring scalability and performance.
- Collaborate with data scientists, data engineers, and product teams.
- Leverage cloud services (preferably Azure, AWS, or GCP) to develop and deploy ML models.
- Monitor and update models in production, ensuring continuous performance.
- Degree in Informatics Engineering, Computer Science or similar areas
- Up to 3 years work experience in similar roles
- Experience with cloud platforms (Azure, AWS, or GCP), especially in ML/AI components
- Familiarity with code versioning tools, like Git
- Experience with MLOps, CI/CD pipelines (nice to have)
- Knowledge of data engineering (ETL processes, data lakes, data pipelines) (nice to have).
- Excellent capacity to work autonomously or integrated in a team
- Good problem-solving and analytical skills
- Fluent in English - written and spoken (mandatory)
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