R&D - Machine Learning Engineer (Mid) / Horizon Project Technical Director
2 settimane fa
EXUS Ltd is a leading research and development company that specializes in designing and developing robust and trustworthy AI solutions. Our team of experts has over 25 years of experience in managing research activities, from ideation to realization, and has a proven track record of delivering innovative projects.
Job SummaryWe are seeking a highly motivated and experienced R&D - AI Engineer (Mid) / Horizon Project Technical Lead to join our team. As a key member of our multidisciplinary team, you will be responsible for leading technical projects, defining technical specifications, and applying machine learning algorithms to build end-to-end solutions.
Key Responsibilities- Technical Project Management: Lead technical projects, allocate effort, plan tasks, and monitor progress.
- Technical Specification Definition & Architecture Design: Define technical requirements, design software architecture, and define data flows.
- Machine Learning Engineering: Apply machine learning algorithms, build and maintain end-to-end solutions, and perform statistical analysis and fine-tuning.
- Collaboration & Problem-Solving: Collaborate with data scientists and software engineers to build and maintain data and model pipelines, and provide solutions to technical-related issues.
- Education: BSc degree in Computer Science, Mathematics, or a similar field. An MSc degree is highly appreciated.
- Experience: 3-5 years of experience in application development project(s).
- Skills: Good knowledge of mathematics, probability, statistics, and computational algorithms, proven experience in software engineering and design, good understanding of data structures, data modeling, and software architectures, expertise in data analysis and visualization, and proven experience in Python.
- Preferred Skills: Experience in frameworks Django, FLASK, or FastAPI, familiarity with SQL databases, application containers (Docker), and continuous integration processes and practices.
- Competitive Salary
- Fully Remote Work Setup
- Inclusive Work Environment & Well-being Program
- Clear Induction Program & Mentoring Buddy
- Private Health Insurance Allowance
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