Job Description: Junior Machine Learning Engineer
We are seeking a motivated Junior Machine Learning Engineer to join our team. The ideal candidate will support the implementation of ML architectures, contribute to the development of ML solutions, and gain insight into MLOps processes, training, deployment, and monitoring.
Responsibilities:
* Support the implementation of ML architectures and learn about different frameworks, technologies, and cloud platforms.
* Contribute to the development of ML solutions for various business requirements.
* Gain insight into MLOps processes and support training, deployment, and monitoring.
* Learn and apply compliance and security standards in ML systems.
* Contribute to the maintenance and improvement of data pipelines for ML workflows.
* Work collaboratively in a motivated team within a dynamic startup environment.
Technologies:
* Azure, CI/CD, Cloud, DevOps, Docker, Firewall, Support, Machine Learning, Python, REST, Security, CUDA, FastAPI, JIRA, Kubernetes
Requirements:
* Degree in computer science, software development, or a comparable field with a focus on machine learning.
* Foundational understanding of cloud platforms like AWS or Azure.
* Experience with containerized environments (Docker).
* Programming skills in Python and familiarity with ML frameworks.
* Basic understanding of DevOps practices and CI/CD pipelines.
* Basic knowledge of relational databases and REST APIs.
* A proactive, independent work style.
* Fluent in written and spoken English or German.
Additional Information:
Salary: 60,000 - 65,000 EUR per year
About MATVIS:
At MATVIS, our mission is to make AI safe. We are building the security foundation for a future where organizations can confidently deploy generative AI. Our initiatives include AI Firewall, Pentest for GenAI, and more.
Why Join Us?
* Competitive salary, flexible working hours, state-of-the-art equipment, attractive office environment, remote work options, promotion opportunities.
We are committed to diversity and inclusion. Apply now by visiting our careers page and sending your CV as a PDF to the provided email address. Please specify the position in your email subject.
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