Design and build agentic GenAI systems using modern frameworks such as LangChain, AutoGen or Atomic Agents, taking the lead on translating p
We are seeking a senior distributed machine learning (ML) research developer to join our team working on a novel AI safety agenda.
Entwickelt und trainiert generative 3D-Weltmodelle und Diffusionsmodelle für Bild und Video, inklusive verteiltem Training und Produktivsetzung.
At Helsing, we are pioneering the future of autonomous decision-making for defence.
Intro Hamburg | €70.000,00 - €80.000,00 p.a.
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.
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
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.
Your mission Join our ranking team and build the intelligent systems at the core of Cosuno s platform.
Bridge the gap: Develop and maintain the hardware abstraction layers that allow our higher-level autonomy modules to interact seamlessly with the physical robot.
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.
is hands-on and code-heavy — you will work inside the same monorepo as the research team, mostly in Python, and should be as comfortable ref
Lead R&D efforts to prototype a new robotic manipulator, conducting rigorous testing to validate design specifications and performance criteria.
adjoe builds the technologies behind mobile apps growth and monetization.
At ARX Robotics, you will help advance the perception capabilities of next-generation unmanned ground vehicles.
Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvem
Overview We are looking for experienced Machine Learning and AI Experts to help train and evaluate advanced AI models.
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
Design and build agentic GenAI systems using modern frameworks such as LangChain, AutoGen or Atomic Agents, taking the lead on translating product needs into scalable AI solutions and delivering production-ready implementations. - Drive harness engineering practices across Data Science projects, creating agent-ready repositories, workflows, standards, and feedback loops that enable software engineering agents to generate, test, maintain, and review code reliably across AI, ML, and data products. - Develop and maintain knowledge integration pipelines, including RAG architectures, custom model fine-tuning, vector search, and other grounding methods to ensure our AI systems have the right context for accurate, relevant outputs. - Define evaluation strategies, build ground-truth datasets, and create automated test and monitoring setups to ensure stable long-term model performance and proactively detect issues such as drift or hallucination. - Collaborate with engineering, data, and product teams to integrate AI components into platforms, workflows, and customer-facing products, designing clean APIs, robust pipelines, and scalable deployment patterns. - Act as a hands-on expert for GenAI and agentic software engineering topics, mentoring peers, guiding solution architecture, and driving best practices in coding, testing, repository design, documentation, observability, and harness engineering across the team and beyond. - Experiment with new tools, models, and architectures, identify high-impact AI opportunities, and build prototypes that can scale into production-ready solutions. What you’ll bring: - A degree in computer science, data science, engineering, or a related field. - Experience designing maintainable, agent-ready engineering environments, including repository structures, coding standards, automated test suites, CI/CD workflows, documentation patterns, and feedback mechanisms that allow software engineering agents to safely generate, modify, review, and maintain code. - Experience with knowledge graphs, graph-based retrieval, semantic modelling, or ontology-driven knowledge representation is a plus. - Strong coding skills in Python and experience with robust software engineering practices. - Practical experience with RAG pipelines, vector databases, embeddings, or fine-tuning workflows. - Strong understanding of common challenges in AI development (ground-truth evaluation data, monitoring, integration complexity, model drift). - Experience deploying AI systems in a cloud environment and working with modern ML stacks. - Familiarity with MLOps, prompt engineering, or LLM-based application design. - Ability to explain complex AI topics in clear and actionable language to technical and non-technical stakeholders. - High motivation, ownership mentality, and a strong drive to build impactful AI products. - Fluency in English; German is a plus. A culture of growth.
With over 50 nationalities represented, we’re proud to welcome people of all backgrounds to our growing community, and we’re always finding new ways to help people feel welcomed and included. Here, you’ll have the tools, training and support you need to work in a way that suits you, learn new skills and reach your potential. For a career where you can drive our business and shape your future, apply now.
A career driven by you. Join AutoScout24 Group and experience life in the fast lane. We’re not just leading the market; we’re creating it.
We’re constantly innovating, evolving, and transforming things for our customers. We’re driven, ambitious, and determined to do our best work together. For a career that doesn’t stand still, where you can put your ideas in the driving seat and change the way the world moves, join our international community.
As Senior GenAI Data Scientist, you’ll join our Data Science organisation and drive the development of next-generation AI solutions across the company. You will take ownership of building agentic GenAI systems, integrating knowledge into models, and setting up strong evaluation and monitoring frameworks that ensure we deliver reliable, scalable, and high-value AI products. This position is permanent and located in Munich (Germany) or Toronto (Canada).
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.