Machina learning állások XIX. kerületben (programozó, fejlesztő)

Design and Implement Scalable Data Architectures. Architect end-to-end data solutions that support ingestion, storage, processing, and analytics for both customer and machine data....

• 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

• új algoritmusok fejlesztése szakmai igények alapján
• prediktív és gépi tanulási algoritmusok betanítása szakmai kérdések megválaszolására
• analitikai modellek rendszeres tesztelése és karbantartása a hatékonyság javítása és a szakmai igények változásához való alkalmazkodás érdekében

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 architecture design and drive technology decisions Co-create innovative products Mentor clients to adopt Agile practices and engineering excellence Lead project workstreams Build scalable solutions using Agile methodologies Collaborate closely with client teams Foster a culture of engineering...

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...

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...

Build and maintain simulation environments using NVIDIA Omniverse and Isaac Sim for robotic perception, manipulation, and navigation. Develop and integrate robotic behaviors and learning pipelines using Isaac Lab for reinforcement learning and motion planning. Create and manage OpenUSD-based...

Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI models). Implement various machine learning solutions addressing computer vision and NLP use cases. Work with Large Language Models (LLMs), perform prompt engineering tasks. Design and implement data...

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...