Machine learning állások XXIII. kerületben (ai és automatizáció)

• AI-Native Infrastructure: Modern, GPU-intenzív AI/ML keretrendszerek szoftveres alapjainak megtervezése és kiépítése.
• Deep Containerization: Komplex Docker image-ek faragása, kifejezetten GPU-kompatibilis, AI workload-specifikus erőforráskezelésre (NVIDIA-docker, CUDA optimalizáció).

Engaging with business & functional partners to understand business priorities, ask relevant questions and scope same into a analytical, data science solution document calling out how application of data science will improve decision making- In depth understanding of techniques to prepare the...

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...

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...

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...

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...

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,...

Designing and developing proof of concepts (PoCs) Demonstrating solutions to internal customers on a tight schedule Utilizing GenAI no code, low code, and SDKs to build robust GenAI agents that automate business processes Taking GenAI and Agentic AI solutions from concept to Proof-of-Value (PoV)...

Daily data production and quality assurance for client-facing data products Vendor data integration and management Methodology implementations, historical restatements, and platform migrations Data quality investigation including pricing errors, model performance, and analytical discrepancies...

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...

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...

Maintaining and evolving AI/ML projects using Python Building design Agentic LLM based solutions and maintaining/improving existing ones Ensuring output quality by verifying consistency and accuracy Investigating, assessing, and developing cloud based MCP solutions Working under Agile Framework...

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...

Backend applications development and support Documentation and testing Connection and integration with external systems through APIs...

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...

Full-cycle sales engagements from discovery to close with consultative and strategic client development Execution of sales strategies to achieve or exceed sales targets with focus on new customer acquisition and account management Deepening client relationships by understanding long-term strategy...

Design and implement agent-to-agent communication patterns and multi-agent collaboration workflows Integrate LLMs, RAG pipelines, and external APIs/tools into end-to-end agent systems Develop, test, and iterate on orchestration logic including routing, planning, tool selection, error handling, and...

Development and enhancement of quantitative financial models Application of advanced technologies to real world financial problems Keeping up to date with the latest technological trends ...

Driving customers towards Veeva and industry best practices Understanding complex business processes and translating them into technical requirements Performing system configuration changes and data migrations Activating new product features and ensuring seamless integration Troubleshooting system...

Hiring and mentorship of a high-performance frontend squad Evolution of service offerings to include AI-driven UX and modular frontend architecture Technical oversight and escalation management for largest accounts Partnership with customers and Product and Business Consulting divisions Balancing...