Machina learning állások XIII. kerületben középiskolai végzettséggel

• Learn Generative AI principles and models
• Learn Large Language Models, Natural language processing
• Work with Different generative AI Tools and uses
• Learn the LLMs, NLP fundamentals, Transformers, and attention mechanism
• Build Custom dataset for LLM, Build your own custom chatbot/AI bot/custom GPT

• Lead, manage, and mentor engineering teams, fostering a high-performing and collaborative team culture
• Empower teams to deliver robust, scalable, and customer-centric software aligned with business needs

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,...

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...

Lead or participate in scoping the engagement, designing high-level architecture, defining subtasks, and project delivery schedules Deliver projects independently or within a mixed DS/DE team, often as technical lead Act as client-facing interface or SPOC to customers Provide ML/DS consultancy to...

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...

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...