ApplyR&D - Machine Learning Engineer/ Technical Leader (Fully Remote Across Europe)
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💎 Seniority level: Middle, 3 to 5 years
📍 Location: Greece, Bulgaria
🔍 Industry: Research and Development, Artificial Intelligence, Software Engineering, Data Analytics
🏢 Company: EXUS👥 101-250💰 $1,050,775,577 Private over 1 year agoFinancial ServicesBankingInformation TechnologyDebt CollectionsSoftware
🗣️ Languages: English
⏳ Experience: 3 to 5 years
🪄 Skills: DockerProject ManagementPythonSQLData AnalysisDjangoFlaskGitMachine LearningPyTorchSoftware ArchitectureAlgorithmsData StructuresFastAPIPandasTensorflowSoftware Engineering
Requirements:
- BSc degree in Computer Science, Mathematics or a similar field; MSc degree will be highly appreciated.
- Proven working experience, 3 to 5 years, on application development project(s).
- Good knowledge of mathematics, probability, statistics, and computational algorithms.
- Proven experience and competence in software engineering and design.
- Good understanding of data structures, data modeling, and software architectures.
- Expertise in data analysis and visualization.
- Proven experience in Python.
- Familiarity with machine learning frameworks and libraries (e.g., PyTorch, TensorFlow, pandas, scikit-learn).
- Good knowledge of Git.
- Experience with REST-API design and implementation.
- Working experience in Research / H2020 Projects will be highly appreciated.
Responsibilities:
- Technical Project Management (project’s effort allocation, task plan, projects' progress overview, participation in calls & meetings).
- Projects' Technical specification definition & Architecture Design (technical requirements definition, software architecture design, data flows definition).
- Apply Machine Learning algorithms and techniques, build and maintain end-to-end solutions.
- Conduct statistical analysis and fine-tuning using test results.
- Collaborate with data scientists and software engineers to build and maintain data and model pipelines.
- Provide solutions to any technical-related issues during a project’s lifecycle.
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