machine-learning-engineer

greehill is a company that appears to be involved in various aspects of technology and software development, with a focus on geospatial information systems (GIS) and remote sensing. The company has openings for positions such as Data Engineers, Fullstack Developers, Remote Sensing Experts, and DevOps Engineers, indicating a strong emphasis on engineering and production. They also engage in business development, particularly in the B2G (Business to Government) sector, with roles across multiple international locations including Budapest, Singapore, and the USA.

Urban forests play an increasingly important role in mitigating the effects of rapid climate change and improving the health and well-being of citizens around the world. However, proactive management of a city's tree population and quantification of its benefits often fail due to missing or inaccurate data.

 

We are bringing the right data to the people who need it. At greehill, we digitize entire urban forests and provide a platform that empowers cities to map, monitor and analyze the current status of their urban forest and optimize the impact of urban trees on urban life. We enable data-driven decision-making to improve ecosystem services, thermal comfort, and operational efficiency.

greehill

• Own the design, development, and optimization of core ML models, especially in Computer Vision and Deep Learning
• Lead the development of efficient, scalable training and inference pipelines
• Mentor junior ML engineers, reviewing code and sharing best practices
• Collaborate cross-functionally with data engineers, product teams, and remote sensing experts
• Drive performance optimization for large-scale ML workflows and data processing pipelines
• Contribute to strategic technical decisions around model deployment and MLOps
• Stay at the forefront of Machine Learning research and apply it to real-world sustainability challenges

Senior Machine Learning Engineer

Senior Machine Learning Engineer at greehill developing ML solutions for sustainable urban living. Leading projects in Computer Vision and Deep Learning to transform urban environments.

Cinemo is a leading provider of innovative digital media solutions, particularly focused on infotainment for vehicles. They supply cutting-edge multimedia products that enable exceptional digital media experiences across various devices and platforms. Cinemo's offerings include powerful APIs and middleware for seamless media management, multi-seat options, and immersive audio experiences. They also provide customizable applications built on the Android Automotive Operating System, making them a key player in enhancing in-car entertainment with video, audio, and gaming features. Cinemo collaborates with major automotive brands to deliver premium and optimally integrated infotainment systems, including cloud services that ensure up-to-date media experiences.

Cinemo is a global leader in automotive grade multimedia playback, streaming, media management and connectivity middleware in the embedded world. CPU and Operating System agnostic as well as highly optimized for low power and low footprint devices, Cinemo's unified middleware solutions decode, play, render, stream, manage and index virtually any file, disc, connected device and streaming format. 

Designed and optimized for the high quality requirements of the automotive industry, Cinemo`s solutions can be seamlessly integrated into entry, mid and high automotive / in-vehicle infotainment system head and rear seat units, as well as automotive Apps enabling powerful new use cases.

Cinemo GmbH is a privately held German Corporation, headquartered in Karlsruhe, Germany. With a dedicated and strong engineering team, Cinemo's technologies represent the best in their class.

For more information, please visit www.cinemo.com

Cinemo

• Lead GenAI / LLM / NLP research, development, tuning, and deployment for intelligent cockpit and infotainment experiences.
• Design, implement, and operate production-grade AgenticAI frameworks (tool use, planning, memory, orchestration) within Cinemo’s middleware architecture.
• Build and run cloud-based services and pipelines for scalable deployment, monitoring, and continuous improvement of GenAI systems.
• Develop prompt engineering strategies and guardrailing mechanisms to meet automotive-grade requirements (safety, policy, latency, cost, quality).
• Establish automated evaluation and benchmarking for non-deterministic systems (offline/online evaluation, regression testing, A/B testing).
• Collaborate across teams to connect cloud GenAI capabilities with in-vehicle environments across diverse automotive hardware and OS platforms.

Senior AI/ML Engineer – NLP, LLM, GenAI

Senior AI/ML Engineer at Cinemo developing GenAI/NLP solutions for intelligent cockpit systems. Leveraging cloud and in-vehicle integrations to enhance automotive experiences.

ABBYY is a leading provider of intelligent automation solutions, leveraging AI-powered document processing technologies to transform and optimize business processes. The company offers solutions such as ABBYY Vantage, a low-code platform for document processing, and ABBYY Timeline, which provides process mining and simulation to gain actionable insights into business processes. ABBYY serves a wide range of industries including financial services, insurance, and public sector by automating tasks such as accounts payable automation and customer onboarding. Known for its high accuracy and efficiency, ABBYY's technologies enable organizations to enhance productivity, improve process intelligence, and achieve cost savings.

ABBYY puts your information to work. We help enterprises and organizations to transform their data into intelligent, actionable outcomes, so they can make smart decisions faster and drive better results.

Our intelligent automation solutions employ AI that is purpose-built for the enterprise—created with our customers in mind, supporting over 200 languages in real time.

ABBYY intelligent document processing transforms data from any document, in any format or language, any time, into data that drives processes and decision-making. ABBYY Process Intelligence delivers process-related insights and monitoring to improve business process execution. 

For more information, please visit the ABBYY website. 

ABBYY

• Develop and optimize state-of-the-art computer vision and multimodal models
• Design and implement advanced model architectures for visual understanding tasks
• Create robust evaluation frameworks and testing methodologies
• Drive technical improvements in model performance and efficiency
• Research and evaluate new approaches in computer vision and multimodal learning
• Implement novel computer vision algorithms and techniques
• Lead technical implementation of ML projects
• Drive architectural decisions for model development
• Review code and model architectures
• Contribute to technical planning and decision-making
• Support cross-functional collaboration with product and infrastructure teams
• Help maintain technical standards and best practices
• Implement scalable training and evaluation pipelines for computer vision models
• Build efficient visual data processing workflows
• Develop monitoring solutions for production ML systems
• Optimize model performance and resource utilization
• Support deployment and production maintenance
• Design efficient inference systems for visual processing

Senior Machine Learning Engineer developing and optimizing computer vision models for enterprise AI solutions at ABBYY. Leading projects and collaborating across teams to drive innovation in machine learning technology.

Genesys is a leading provider of AI-powered experience orchestration solutions designed to deliver personalized experiences at scale. Their offerings include comprehensive contact center software, workforce engagement management solutions, and an open platform with cloud architecture. Genesys Cloud CX and EX platforms optimize both customer and employee experiences using intelligent automation and embedded AI, allowing seamless engagement across any channel. With a focus on various industries including banking, healthcare, retail, insurance, and government, Genesys assists organizations in transforming customer and employee interaction landscapes. Additionally, their AppFoundry Marketplace offers pre-integrated applications to extend platform functionalities.

Genesys empowers more than 8,000 organizations in over 100 countries to improve loyalty and business outcomes by creating the best experiences for customers and employees. Through Genesys Cloud, the #1 AI-powered experience orchestration platform, Genesys delivers the future of CX to organizations of all sizes so they can provide empathetic, personalized experiences at scale. As the trusted, all-in-one platform born in the cloud, Genesys Cloud accelerates growth for organizations by enabling them to differentiate with the right customer experience at the right time, while driving stronger workforce engagement, efficiency and operational improvements. Visit www.genesys.com.


Genesys recruiters will never ask for sensitive personal or financial information during the application phase. Initial inquiries might come through LinkedIn, but all communication thereafter is through an official Genesys portal. Continue to stay alert and safe.  

Genesys

• Work on smaller, well-defined tasks within AI/ML projects under supervision, focusing on building foundational skills in Python development, machine learning concepts, and cloud technologies
• Write clean, maintainable code following team standards and best practices, with active participation in code reviews to learn from senior team members
• Assist in research, data preparation, model training experiments, and basic feature engineering tasks while learning about ML pipelines and model deployment processes
• Participate actively in agile ceremonies (stand-ups, sprint planning, retrospectives), ask questions to deepen understanding, and communicate progress on assigned tasks
• Learn and apply software quality practices including unit testing, version control with Git, and basic CI/CD concepts
• Demonstrate hunger to learn new technologies, take on feedback constructively, and show initiative in personal development through documentation, tutorials, and team knowledge sharing

Associate AI/ML Engineer

Join Genesys as an Associate AI/ML Engineer to kickstart your career in AI and software development in a supportive environment. Work on AI solutions while learning from experienced engineers.

Turbine is a family-owned company with over 40 years of experience in construction and property management. They specialize in building and managing various types of real estate, including residential, commercial, and community properties such as senior housing and schools. Turbine prides itself on creating safe and comfortable living spaces and maintaining long-term relationships with tenants and partners.

Truly meaningful medicine comes from breakthroughsin deeply understanding patient biology. We are building the world’s leading predictive simulation of patient biology.

We will empower the biopharma industry by informing the right experiments that identify and validate disease driving hidden effects.

Turbine

• Integrating new research with production systems
• Developing tooling
• Working with multiple research teams to find the best implementations for new ideas

Machine Learning Engineer

Machine Learning Engineer focusing on modeling cancer cells and developing related tools. Collaborating with researchers and scientists to advance cancer treatment through ML.

Hybrid ML Engineers roles in Hungary

Browse 5 hybrid ml engineers roles hiring in Hungary plus related opportunities such as llm engineer, nlp engineer, computer vision engineer, ai engineer and ai research scientist.

5 jobs found

Senior Machine Learning Engineer

greehill

Senior AI/ML Engineer – NLP, LLM, GenAI

Cinemo

Senior Machine Learning Engineer

ABBYY

Associate AI/ML Engineer

Genesys

Machine Learning Engineer

Turbine