InnoWave is looking for a motivated and curious Junior Machine Learning Engineer with up to 3 years of professional experience to join the Data & AI team of one of our clients. The ideal candidate will have a solid foundation in Data Science and Machine Learning, strong technical skills, and hands-on experience working in cloud environments.
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.
Skills
- 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)
InnoWave gives equal opportunity in employment regardless of gender, gender identity, sexual orientation, marital status, race, nationality, religion, age, disability, political beliefs, or any other factor. InnoWave will not pay fees to any third-party agency or company that does not have a signed agreement, do not submit resumes/CV's directly.
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