Collaborate with our core development team to bring machine learning into production - Design and train ML models on large-scale clinical da
Design and adapt vision-language and video models for scene understanding, temporal reasoning and activity / action recognition - Build and
Be part of one of our Data Science teams to further optimize our innovative product based on machine learning and artificial intelligence -
Design and build agentic GenAI systems using modern frameworks such as LangChain, AutoGen or Atomic Agents, taking the lead on translating p
Entwickelt und trainiert generative 3D-Weltmodelle und Diffusionsmodelle für Bild und Video, inklusive verteiltem Training und Produktivsetzung.
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
At Helsing, we are pioneering the future of autonomous decision-making for defence.
Intro Hamburg | €70.000,00 - €80.000,00 p.a.
Your mission dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing.
Your mission You will - work on machine learning research projects, in particular addressing the question of how machine learning methodolog
At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers.
Entwickelt KI-Systeme, die Vision und Sprache für die Autonomie schwerer Robotermaschinen verbinden, und begleitet sie bis zum Produktiveinsatz.
Master s degree or PhD in Computer Science, Information Systems, Robotics, Computer Vision, or a related field.
When travelers are searching for a hotel, we want the obvious choice to be trivago!
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
define and own the data science and AI strategy across the organization - lead development and scaling of predictive and generative AI model
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and simulation.
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
As an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences.
Bridge the gap: Develop and maintain the hardware abstraction layers that allow our higher-level autonomy modules to interact seamlessly with the physical robot.
Entwickelt und betreibt produktive LLM-Pipelines für Logistikdokumente, inkl. Prompt-Design, Evals, Monitoring und Modellauswahl.
As an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences.
Taktile empowers financial institutions to transform into truly AI-native organizations.
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
Design and implement decoupled data supply chains, spanning landing zones, quality and transformation layers, and consumption layers, to ens
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
Collaborate with our core development team to bring machine learning into production - Design and train ML models on large-scale clinical datasets - Integrate AI-powered solutions (LLMs, ASR, RAG, Embedding, and more in the future) into real medical workflows - Evaluate, benchmark, and fine-tune existing models to fit clinical use cases - Work with Federated Machine Learning frameworks for privacy-preserving model training - Collaborate with leading academic and research institutions - Own the reliability, performance, and quality of AI features in production - Leverage access to high-performance computing infrastructure to build robust ML pipelines
Degree in Informatics, Computer Science, or a related field - or equivalent practical experience - Strong coding background - GitHub contributions are a plus - Hands-on experience deploying ML systems to production using PyTorch, LangChain, and Pydantic, including LLMs, ASR models, and RAG pipelines with vector databases (e.g., Qdrant). - Publications at top conferences or demonstrated cutting-edge results in applied ML (e.g., Speech Recognition or NLP) is a plus - Interest in new technologies and their application to real-world challenges - Fluency in English, German is a plus YOUR
Variety in your tasks and the opportunity to take ownership - An international, informal team structure in a motivating start-up atmosphere, allowing you to participate directly in our customer growth story and the overall success of Avelios - Ability to gain valuable hands-on experience in a startup backed by leading international VCs - Support for your personal development through continuous learning and feedback - Set your own rhythm with flexible working hours and trust-based time tracking - A virtual stock option package (VSOP) that lets you participate in Avelios’ long-term value creation - A monthly meal allowance up to 75 euros, full coverage of the Deutschlandticket, Urban Sports Club or a subsidized Wellpass membership, a bike leasing program and Corporate Benefits that give you access to discounts from a wide range of providers in various areas
Our mission at Avelios is to unlock clinical data to power seamless healthcare operations for better patient care. To do so, we have built a modular software platform that digitizes and optimizes workflows in hospitals with cutting-edge technology in a user-friendly way. With our software, we enable hospitals, doctors & nurses to provide their patients with the best possible care.
We are growing fast and want to keep expanding our team and business to fundamentally digitize healthcare for the better. We appreciate different backgrounds and see diversity as one of our strengths. THE TEAM AND ROLE As a Machine Learning Engineer (all genders), you will drive the integration of intelligent systems into real-world clinical environments.
Collaborating with our interdisciplinary development teams, your role will focus on bringing state-of-the-art models (LLMs, ASR, and more), into production and embedding them directly into Avelios software to improve everyday medical workflows. This is a unique opportunity to shape how AI transforms the way clinicians work.
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