R&D - ML ENGINEER (MID) / HORIZON PROJECT TECHNICAL LEADER

, the R&D department of , is where we design and develop robust and trustworthy AI solutions that allow us to leverage the untapped potential of big data analytics across multiple verticals. For more than 25 years , EXUS has gained substantial experience in managing research activities, from the ideation to the realization phase, taking advantage of a highly professional and diverse team. Currently, EXUS AI Labs coordinates and participates in projects which have received funding under the H2020 Research and Innovation Programme, as well as national funding schemes such as Innovate UK. Our people constitute the source of inspiration that drives us forward and help us fulfill our purpose of being role models for a better world. This is your chance to be part of a highly motivated, diverse, and multidisciplinary team, which embraces breakthrough thinking and technology to create software that serves people. We offer a creative, fun, and above all, inspiring working environment that fosters team spirit and promotes the greater good. We are positive and eager to learn and explore. We are committed to our vision. Our shared Values: We are transparent and direct We are positive and fun, never cynical or sarcastic We are eager to learn and explore We put the greater good first We are frugal and we do not waste resources We are fanatically disciplined, we deliver on our promises We are EXUS! Are you? Right now, we have a vacancy for an R&D - Machine Learning /ML Engineer (Mid) . This is a fully remote opportunity. You will join a multidisciplinary team of Engineers, Data Scientists, and innovation management Experts that excel in driving innovation in software engineering, A.I., and data analytics, to foster advances in key sectors such as banking, security, health, finance, creativity, and lifelong learning. Your main duties will be: 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 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 Minimum Requirements: BSc degree in Computer Science, Mathematics or a similar field. An 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. Preferred Skills: Experience in frameworks Django, FLASK or FastAPI. Familiar with SQL databases. Familiarisation with application containers (Docker) and general exposure to continuous integration processes and practices. Familiarization with event-driven processes. General Skills: Excellent understanding of the English language (both verbal & written). Strong problem-solving skills and analytical thinking. Team player, self-motivated, constantly seeking new knowledge. Additional Information: Ability to travel (up to 10% of total working time, in European destinations) / Fulfilled military obligations for male candidates. At EXUS we help our people to achieve excellent results by creating a work environment that encourages individual and team success. What We Offer: Fully remote work setup. Competitive salary. Inclusive work environment & Well-being Program. A clear induction program & a mentoring buddy to help you. Private health insurance allowance. Unlimited time off. #J-18808-Ljbffr