Sort by
Refine Your Search
-
. Some technologies may be learned during the project, but solid Python skills and hands-on experience with graphs and GNNs are essential. Degree in computer science, software engineering, data science
-
to own backend, data layer and frontend as one coherent system (upload data, run scoring, show ranked results). Degree in computer science, software engineering, data science, machine learning, or an
-
software engineers to identify risks early and ensure meticulous, high-quality deliverables Profile Master's degree in Computer Science, Electrical Engineering, or a related field, from an accredited
-
(scheduling, reporting, budget tracking for TA hours) as needed Your profile University degree (Bachelor's or Master's) in Computer Science, Data Science, or a related technical field Prior
-
), designing systems that are resilient and easily maintainable in an automated context. Required skills / experience: Computer Science degree, or software development skills acquired through hands-on
-
evaluation failures. Profile Essential MSc or PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field. Exceptional BSc candidates with strong engineering experience
-
, monitoring and data analysis, helping them plan their projects, review their code and interpret their results. Your profile Essential qualifications and skills A degree in computer science, software
-
. Profile Master’s degree or PhD in a relevant discipline (e.g., Computer Science, Engineering, Physics, Applied Mathematics, Data Science, Information Technology, etc.). Strong expertise (more than 10 years
-
strategic delivery of IT infrastructure and services. Profile Must-Haves: A degree in computer science or a related field, or equivalent professional experience. At least 5 years of hands-on experience in