Machina learning állások I. kerületben (it programozás, fejlesztés)

• 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

• 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

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....

• 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...

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...

Rapid prototyping of proof-of-concepts for next-generation sports tech R&D exploration of diverse, open-ended technical challenges Writing adaptable, efficient, robust, and multithreaded C++ applications Field testing new prototypes in real-world environments and supporting early-stage deployments...

Research, develop, implement, and test artificial intelligence algorithms to improve the quality and robustness of the static world model in automated vehicles Focus on road structure including lanes, curbs, and drivable trajectories Focus on traffic sign and traffic light detection including 3D...

Platform development supporting financial engineers and researchers Technical design and code review sessions facilitation Building widely used and reliable fundamental components as Python libraries Building high quality software improving user experience for modellers and developers Staying...

End-to-end AI solution ownership from problem definition through prototype validation and production support Partnership with product managers and business stakeholders to translate real-world problems into data science and AI initiatives Independent planning and execution of research,...

Data exploration, profiling, cleansing, and preprocessing for high-quality datasets Design and management of workflows for storing and retrieving vectorised documents Application of embedding models to build AI-driven solutions Leveraging modern AI and machine-learning techniques including large...

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...

Development of highly scalable services realizing AI/ML functionalities Implementation of machine learning solutions for computer vision and NLP use cases Work with Large Language Models (LLMs) and perform prompt engineering tasks Design and implementation of data transformation services for use...

Building high-performing, AI-enabled teams within Budapest Global Center for Product Innovation Leading engineering for strategic products with design, delivery, and quality across multiple agile teams Defining technical strategy, system architecture, and integration of AI/ML-powered components...

Leading a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud Providing mentoring and technical support to junior and medium teammates Acting as a trusted advisor to clients Developing highly scalable services realizing AI/ML functionalities (e.g. NLP, ML...

Building and maintaining simulation environments for mobile robotic perception and navigation Developing and integrating robotic behaviours and learning pipelines for reinforcement learning and motion planning in complex outdoor environments Collaborating with cross-functional teams to validate...