Machina learning állások, munkák it programozás, fejlesztés területen

• collaborating on the design and development of ML‑based applications and their backend components
• helping to select the most applicable solutions for a given business problem
• writing clean, efficient and well‑documented code
• contributing to our MLOps processes

• 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

Act as the key link between business and delivery teams, ensuring alignment with enterprise standards (architecture, security, compliance) and providing clear visibility on progress, risks, and trade-offs to senior stakeholders....

• Writing and maintaining Python-based automated system and regression tests
• Expanding automated regression coverage and improving stability of test execution
• Evaluating daily automated test results and handling failures
• Owning and driving system-level testing activities within a Scrum team

• Develop and operationalize solutions across classical AI/ML/DL and generative AI use cases
• Build, evaluate, and optimize machine learning and deep learning models for business applications
• Integrate data and AI services from APIs, third-party platforms, cloud services, and internal systems

• Design and build AI, automation, and innovation products at enterprise scale
• Translate emerging technology into production-ready software and commercial outcomes
• Design and deploy AI infrastructure and agentic workflows to support product delivery

• Tapasztalat gépi látás vagy AI fejlesztésben
• Magabiztos C++ és/vagy Python tudás
• Analitikus gondolkodás és önálló problémamegoldás
• Innovatív szemlélet és csapatmunka
• Computer Vision / OpenCV
• Deep Learning / PyTorch
• 2D–3D képfeldolgozás
• CNN / Vision Transformer
• Robotika / ROS / ROS2
• C++ / Python

Design, implement, and optimize machine learning models to solve complex business problems Oversee the entire machine learning lifecycle from data collection and pre-processing to model deployment and monitoring Collaboration with data scientists, software engineers, and product managers to...

MACHINE LEARNING SPECIALIST Who are you Data scientist graduated from EPFL, ETH or similar You have a problem-solving attitude, the projects you will work on are not textbook cases, you will need to be imaginative to bring the best solutions You are willing to always go the extra mile and never...

• Discussing and clarifying requirements with our internal domain experts
• Design and development of the algorithms that are optimized over various layers of our software stack
• Design and development of the software that interacts with specific hardware components

Real-Time Decision Making Using Machine Learning For Risk Assessments Ownership Of Risk Infrastructure For Instant ACH Cross-Functional Collaboration With Software Engineers, Data Analysts, And Data Scientists Designing New Rules And Refining ML Models Providing Support To Chargeback And Fraud...

Automation and streamlining of fraud investigation processes Improvement of tooling for fraud investigations Creation of seamless experience for agents and customers during fraud investigations Development of innovative solutions to tackle fraud Implementation of AI-driven investigations to enhance...

Independent research in accordance with good scientific practice: conception and implementation of scientific methods, experiment design, data collection and processing, and authoring publications in peer-reviewed journals...

• Partner with internal teams and model researchers to evaluate high-value use cases and understand their business context.
• Analyze use cases across the organization and advise on how to make them work effectively with our tabular foundation models.

Co-design and implementation of QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques Application of AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets Building reusable QA tools in...

Development of novel data extraction tools and workflows Co-lead R&D projects for information extraction from structured, semi-structured, and unstructured data Design, prototype, and evaluate scalable models including LLMs for asset detection, attribute inference, and classification Implementation...

Research Scientist in Machine Perception (80 -100%) W firmie ABB pomagamy przedsi?biorstwom dzia?a? sprawniej i czy?ciej – i ka?dy cz?owiek w naszej firmie si? do tego przyczynia. B?dziesz mie? mo?liwo?? przewodzenia, otrzymasz wsparcie w rozwoju i poczujesz dum? z wp?ywu, jaki wspólnie wywieramy....

Tailor the SAP-RPT model family to the unique complexities of real-world relational enterprise data, enabling models to navigate and reason over intricate schemas and logic...

Development and improvement of football ball and player tracking algorithms using multi-camera systems Contribution to multi-view geometry solutions for accurate tracking across the field of play Support of approaches to handling occlusion and recovery in fast-paced sports scenarios Enhancement of...

• Help establish yourself as a key contact for AI-related topics at customers
• Support the design of SAP Business AI architectures aligned with customer business strategy
• Develop AI Strategies for our customers
• Translate strategic AI initiatives into measurable business value