Senior Machine Learning Engineer
To strengthen our Team AI, we are looking for a Senior Machine Learning Engineer. The position of Senior Machine Learning Engineer is a full-time and permanent position based in our office in Belgrade.
As a Senior Machine Learning Engineer, you will be responsible for developing, experimenting and creating machine learning, statistics and cutting-edge mathematical algorithms for various applications with a focus on NLP, Graph Machine Learning and Recommender Systems. You will be also responsible for building, deploying, and automating large-scale machine learning, statistical, and mathematical models.
Responsibilities:
- Working in a team with others Machine Learning Engineers with the responsibility to implement production AI-related products in the area of Natural Language Processing
- Collaborating closely within the team of other data scientists, data engineers and software engineers to develop end-to-end machine learning solutions
- Researching and adopting best MLOps practices to design and develop scalable end-to-end machine learning pipelines
- Identifying new opportunities for MDPI AI Products and our machine learning process automation
- Ensuring the automation of code delivery, releasing cycle configuration and CI/CD
- Writing automated unit, integration and functional tests for the features
- Reporting of KPI, trends and advancements to the Management Team
Requirements:
- Master's Degree in Statistics, Mathematics, Physics or Science
- 5+ years of professional experience in a business company building and optimizing data or ML pipelines and projects
- Good programming skills in Python (other languages are a plus e.g. R)
- Experience in REST API development (e.g. Flask, FastAPI, Celery)
- Experience in machine learning model lifecycle (from the development to the deployment)
- Experience with containerization technologies: Docker, Kubernetes
- Experience in the application and implementation of NLP and graph ML is beneficial
- Use MLOps tools to validate, deploy and monitor models using MLflow, Metaflow or similar
- Optimizing big data pipelines, architectures and data sets using Airflow or similar
If you are interested in this position, we look forward to receiving your complete application. Please submit your cover letter and CV.
We look forward to welcoming you to our Belgrade office.
Initiatives
At MDPI, we develop and maintain various platforms in order to better serve the scientific community. Please find here-below a list of our main platforms: https://www.mdpi.com/
- Team
- IT
- Locations
- Zvezdara Office
What we offer
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Contributing to the academic community
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Mentorship program and training opportunities for shaping and realizing your career goals in the scientific publishing industry
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Various opportunities for professional development in an international company
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Competitive and performance-based bonuses
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Private health insurance & team building activities
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Flexible working hours
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Possibility to spend time abroad and collaborate with colleagues in other MDPI offices
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Working in a collaborative, diverse, and socially responsible team
Life & Work at MDPI
We are committed to fostering a supportive and respectful working environment, as well as building friendships that extend beyond the workplace.
We are a young and dynamic team of over 720 people working in Serbia, brought together by our shared passion for science and academic publishing.
Encouraging people to share knowledge and constantly learn from one another, while being open-minded, is a part of our success story.
About MDPI Serbia
A pioneer in scholarly open access publishing, MDPI has supported academic communities since 1996. Our mission is to foster open scientific exchange in all forms across all disciplines. We operate more than 370 diverse, peer-reviewed, open access journals and serve scholars from around the world to ensure the latest research is openly and quickly available. MDPI is headquartered in Basel, Switzerland with additional offices in Europe, Asia, and North America.
MDPI Serbia was established in 2016 to support the rapid global expansion of MDPI. Over the course of 6 years, we opened two offices in Belgrade and one additional office in Novi Sad. With over 720 employees in our 3 Serbian offices, we are dedicated to ensuring that high-quality research is made available as quickly as possible in different fields of science. We also support sustainability projects, with sustainability as a key theme in many journals and through the MDPI Sustainability Foundation.
Senior Machine Learning Engineer
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