Machina learning állások, munkák projektmenedzsment kategóriában

Define and execute the technical vision for SEON’s Identity Verification systems across ML models and full-stack application layers Lead end-to-end delivery of high-impact initiatives, from model development to backend services and frontend integration Guide architecture and best practices to...

Work in cross-functional agile teams alongside data scientists, machine learning engineers, product managers, and industry experts to innovate with clients and consulting teams. Design and build robust, modular, scalable, and secure data pipelines for machine learning that are deployable,...

Work closely with customers to analyze business needs and translate them into technical requirements. Participate in pre-sales discussions, helping shape tailored technical solutions. Collaborate with Sales and Customer Success teams to ensure smooth project execution and client satisfaction....

Participate in the design and development of low-level software to enable new Arm architecture features across Linux, Android, and related userspace components. Collaborate closely with Arm architecture and silicon teams to translate architectural innovations into robust, upstream-ready software...

Manage big data, cloud engineering, and machine learning projects for EMEA customers Lead end-to-end customer projects, ensuring a seamless experience from kick-off to project closing Manage the project and team day-to-day Handle customer communications Resolve escalations Identify opportunities to...

• development of computational methods and processing pipelines for large image datasets
• application of existing and development of new analytical and ML solutions
• data visualization and communication
• work in close collaboration with our medical collaboration partners

Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage) Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability...

Leading a high-performing team of 3 to 8 engineers Working across the complete software lifecycle, including requirements, planning, development, release and support and maintenance Developing Linux device drivers and exposing these to application software...

Leading a high-performing QA team of up to 5 engineers Working with software teams to establish and implement quality processes in every stage of the development cycle Test development for firmware and Linux-based systems (kernel, device drivers and applications) Test and workload automation with...