Senior Forward Deployed AI Engineer - Remote in Germany

Join Our Team as a Senior Machine Learning EngineerFull-time | Munich | Seed Stage | Equity + SalaryAt Knowlix, our mission is to revolutionize small business productivity by harnessing the power of AI. We aim to establish ourselves as the leading platform for human-AI and AI-to-AI collaboration.As a member of our early-stage team, you will have the unique o…

JetBrains is seeking a Senior Machine Learning Researcher to focus on Spectrum. This position centers on applying machine learning expertise to improve product features and contribute to ongoing research efforts. Role overview This role involves working with a team dedicated to advancing the capabilities of Spectrum. The Senior Machine Learning Researcher will use their knowledge to influence product direction and participate in research projects that drive innovation. Key responsibilities Apply machine learning methods to enhance Spectrum's technology. Contribute to research initiatives that inform future product development. Share insights and provide leadership within the research team. Locations This position is available in Amsterdam, Belgrade, Berlin, Limassol, Madrid, Munich, Paphos, Prague, Warsaw, and Yerevan.

Role Overview Brainlab is seeking a Senior Machine Learning Engineer focused on Video AI to join the team in Munich. This position centers on improving video processing for medical imaging and patient care. The work combines machine learning and computer vision to advance healthcare technology. What You Will Do Develop, test, and deploy machine learning models for video analysis in medical applications Work closely with cross-functional teams to integrate new solutions into Brainlab’s products Contribute technical expertise to projects that improve the quality and efficiency of healthcare tools Impact Efforts in this role will shape Brainlab’s video AI capabilities, with a direct effect on the performance of medical imaging systems and patient outcomes. Collaboration across teams ensures solutions remain technologically advanced and clinically relevant.

Join Sixt, a leader in mobility solutions, and be part of our transformative journey to enhance how people navigate the world. Our Data Science organization is at the forefront of innovation, utilizing advanced algorithms to optimize critical business processes such as pricing and more. Step into a pivotal role where your expertise in Machine Learning can drive real change.YOUR ROLE AT SIXTLead and expand our Machine Learning Engineering team, collaborating closely with data scientists to convert models into high-quality, production-ready ML applications within our central MLOps platform.Establish ML Engineering standards by developing best practices, design patterns, and quality benchmarks that empower data scientists to create scalable and maintainable ML solutions.Shape technical strategy and architecture across data science, MLOps, and engineering teams, ensuring alignment with business objectives while effectively communicating system designs to tech leadership.Act as a bridge between platform and practice by interpreting MLOps platform capabilities into actionable guidance for data science teams, and relaying ML engineering requirements back to the MLOps platform team.Promote collaboration and excellence by cultivating strong relationships across cross-functional teams, mentoring engineers, and fostering a culture of innovation and continuous improvement.

Machine Learning Reply in Munich is looking for DevOps/ML Engineers (m/f/d) to join projects focused on machine learning and data processing. The team supports clients from a range of industries and values candidates with a solid technical background. Both experienced engineers and those early in their DevOps or ML careers are encouraged to apply. Key responsibilities Design technical solutions for data-driven applications, with a focus on machine learning and AI systems. Deploy and manage these solutions on cloud platforms such as AWS, Azure, and GCP, as well as on-premises environments. Automate operational workflows using DevOps and MLOps practices to accelerate project delivery. Set up and maintain monitoring, failover, and recovery processes to ensure reliability and regulatory compliance for ML solutions. Work closely with clients and stakeholders to translate business needs into production-ready systems. Collaborate with enterprise architects, analysts, data scientists, and data engineers to develop data warehouses, data lakes, and data platforms. What to expect Project assignments across sectors including Banking, Insurance, Automotive, and Retail. Skill development through interdisciplinary teamwork and training in data engineering, cloud architecture, and data science. Collaboration with leading partners in cloud computing, business intelligence, and AutoML. A social program featuring training sessions, conferences, team-building events, community practices, and hackathons. Flat hierarchies and a strong knowledge-sharing culture within Reply. An award-winning office in central Munich, near the “Stammstrecke”. Location This position is based in Munich, Bayern, Germany.

Company Overview:At Machine Learning Reply, we specialize in delivering tailored end-to-end solutions within the data science realm. Our comprehensive services encompass the entire project lifecycle, from strategic consulting to data architecture and infrastructure development, culminating in data processing and quality assurance through advanced machine learning algorithms. Our mission is to empower clients to successfully establish new data-driven business models and optimize their existing processes and products, all while leveraging cutting-edge open-source and cloud technologies.We are actively seeking a passionate and skilled Machine Learning Consultant to bolster our team. An ideal candidate will have a robust technical background and be capable of guiding our clients in adopting cloud-based solutions. If you possess a solid foundation in Software Development and a keen interest in Cloud Technologies, alongside a shared enthusiasm for Data and AI, we would love to hear from you!

ABOUT USAt Avelios, our mission is to revolutionize healthcare by creating the premier software platform for data-driven digitization in hospitals and patient care. Our innovative, modular software platform is designed to enhance and streamline workflows in medical settings using cutting-edge technology, all while ensuring user-friendliness. With our solutions, we empower healthcare professionals—hospitals, doctors, and nurses alike—to deliver outstanding care to patients.As we rapidly grow, we are eager to expand our team and continue transforming healthcare for the better. We embrace diverse backgrounds and view this diversity as a pivotal strength.THE TEAM AND ROLEIn the position of Machine Learning Engineer (All Genders), you will play a crucial role in integrating intelligent systems into clinical environments. Working alongside our interdisciplinary development teams, you will focus on building and deploying scalable machine learning models, with direct access to extensive medical datasets, state-of-the-art models, and high-performance computing resources. This presents a unique opportunity to influence how AI reshapes daily medical workflows.YOUR RESPONSIBILITIESCollaborate with the core development team to implement machine learning solutions in productionDesign and train machine learning models on large-scale clinical datasetsIntegrate AI-driven solutions into existing medical workflowsUtilize Federated Machine Learning frameworks for privacy-conscious model trainingWork in partnership with leading academic and research institutionsTake advantage of high-performance computing infrastructure to develop robust ML pipelinesYOUR QUALIFICATIONSDegree in Informatics, Computer Science, or a related field, or equivalent practical experienceStrong programming skills; contributions to GitHub are a plusHands-on experience with ML frameworks (e.g., PyTorch, scikit-learn, LangChain), particularly with LLMs and ASR ModelsPublications in leading conferences or evidence of cutting-edge results in applied ML (e.g., Speech Recognition, NLP) are advantageousGenuine interest in new technologies and their application to real-world challengesFluency in English; knowledge of German is a plus

Join avelios-medical as a Working Student in Machine Learning and immerse yourself in cutting-edge technology and innovative healthcare solutions. This position offers a fantastic opportunity to work alongside experienced professionals in a dynamic environment where you will contribute to real-world projects that shape the future of medical technology.

Join avelios-medical as a Machine Learning Intern and kickstart your career in artificial intelligence! This is an exciting opportunity to work with cutting-edge technologies and contribute to innovative projects. As an intern, you will assist in developing machine learning models, analyzing data, and collaborating with a dynamic team of professionals.

About Machine Learning Reply Machine Learning Reply delivers custom data science solutions, covering every stage from consulting and data architecture to infrastructure setup, processing, and quality assurance. The team helps clients launch new data-driven business models and improve existing products and processes, with a focus on open-source and cloud technologies. Role Overview The Munich office is looking for a Machine Learning Consultant (m/w/d) with strong technical skills and a genuine interest in cloud technologies. This role supports clients as they adopt cloud-based solutions and data-driven approaches. Experience in software development and enthusiasm for data and AI are important for success in this position. Main Responsibilities Research and prototype new concepts to improve daily operations and deliver value for clients in multiple industries. Implement client-specific use cases and support clients from initial workshops through to final rollout. Advise clients on data modeling and visualization to help them make better use of their data. Develop data science use cases that contribute directly to business goals. Lead infrastructure projects, including building cloud data lakes and data warehouses. What to Expect Work on projects across a variety of industries, collaborating with both large enterprises and mid-sized firms in sectors such as Banking, Insurance, Automotive, and Retail.

Join Our TeamAt Hawk, we are at the forefront of combating financial crime with our innovative AI-driven solutions. Our technology empowers banks and payment providers worldwide to enhance their anti-money laundering (AML) compliance and fraud detection capabilities. We blend traditional methods with explainable AI to elevate efficiency and reduce false positives, making a significant impact in the global battle against money laundering and fraud.Our culture thrives on mutual trust, collaboration, and a shared passion for making a difference while providing opportunities for personal and professional growth.Your RoleAs a member of Hawk's Data Science & AI team, you will contribute to the development and implementation of cutting-edge machine learning solutions to identify and counteract financial crimes. Your enthusiasm for data and problem-solving will drive the advancement of AI applications in the FinTech sector.Your ResponsibilitiesEnhancing AI/ML models to better detect suspicious activities and minimize false positives.Exploring and applying state-of-the-art techniques in data science and AI for financial crime prevention.Streamlining processes and automating workflows within the Data Science team.Creating prototypes and proof-of-concept solutions to showcase new AI techniques to potential clients.Conducting analysis on complex financial data sets, recognizing patterns, and delivering insights to leadership.Working alongside cross-functional teams including Engineering and Product to integrate models into existing systems.Documenting methodologies and findings to promote transparency and ongoing improvement.

Intrinsic is a groundbreaking venture from Alphabet, dedicated to transforming the industrial robotics landscape. Our passionate team believes that advancements in AI, perception, and simulation will unlock unprecedented possibilities for industrial robotics in the near future, with software and data as the driving force.We aim to make industrial robotics intelligent, accessible, and practical for millions of businesses, entrepreneurs, and developers. As a dynamic collective of engineers, roboticists, designers, and technologists, we are committed to realizing the creative and economic potential of industrial robotics.RoleIn this role as a Senior Software Engineer specializing in MLOps and deep learning infrastructure, you will architect and develop the core systems that empower our robots with cutting-edge machine learning capabilities. Collaborating with a cross-disciplinary team of engineers and researchers, you will create infrastructure that enhances the training, evaluation, and deployment of large-scale AI models. Your expertise will provide accessible tools for integrating machine learning into the Intrinsic ecosystem, managing computing resources across cloud and on-premise environments, and ensuring efficient, reliable, and scalable model lifecycles for real-world industrial applications.How Your Work Advances Our MissionDesign and implement scalable infrastructure for training and deploying deep learning models integrated with real-time robotic control systems.Optimize data loading and training speeds across 1000+ GPU training jobs.Develop data pipelines that facilitate distributed computing to handle vast amounts of robotics data for model training.Create APIs and tools that empower internal and external researchers to seamlessly incorporate machine learning techniques into their workflows, potentially leading efforts to open source models and engage with the community.Enhance the allocation of computing resources, such as GPUs and TPUs, to minimize costs and latency during model development, while establishing orchestration workflows for successful job execution on Google Kubernetes Engine (GKE).Develop tools for model understanding and analysis to ensure reliability and traceability throughout the machine learning lifecycle.

Join Sixt as a Senior MLOps Engineer and play a crucial role in our mission to leverage machine learning for enhancing our services. In this exciting position, you will work closely with cross-functional teams to design, implement, and maintain robust machine learning operations pipelines. Your expertise will help streamline our data processing and model deployment, ensuring high performance and reliability.

airapps is looking for an AI/ML Engineer in Munich to help shape the next generation of technology products. This position centers on developing and refining artificial intelligence and machine learning models that support the company’s product goals. What you will do Design and implement AI and machine learning models for real-world applications Work closely with colleagues from different teams to integrate models into products Focus on optimizing model performance and ensuring scalability Collaboration Expect to partner with cross-functional teams throughout projects, sharing knowledge and solving challenges together as new solutions are developed. Role overview This role offers the chance to work on projects that push technology forward, with a focus on practical results and continuous improvement.

Join avomind as an AI Engineer Consultant, where you will leverage your expertise in artificial intelligence to drive innovative solutions. Collaborate with a dynamic team to develop and implement cutting-edge AI technologies that enhance business processes and improve decision-making. Your role will involve analyzing complex data sets, designing AI models, and providing strategic insights to clients.

Key ResponsibilitiesAs a Senior Data Scientist, you will lead the design and implementation of sophisticated data models and algorithms tailored to our client-specific solutions. You'll identify and analyze challenges within an analytical framework.Engage in critical projects involving large datasets, collaborating closely with senior stakeholders to define project scope and objectives.Architect, develop, and manage complex data pipelines and dashboards, ensuring efficient data flow and accessibility.Contribute to a variety of data-centric components, including data platforms, dashboards, and products related to Data and Machine Learning.Serve as an expert across diverse technology stacks (e.g., Azure, AWS, GCP, DBX, ELK, Spark, Databricks).Make strategic decisions regarding technology stacks and methodologies to optimize data processes.Mentor and guide Junior and Mid-Level Data Scientists, fostering their professional growth.Drive innovation and technical development, enhancing data science processes and methodologies across the team.What We OfferRegular and systematic training opportunities (both internal and external) in Data Engineering, Cloud Architecture, and Data Science.Access to cross-industry projects with large and medium enterprises in sectors such as Banking, Insurance, Automotive, Retail, and more.Partnerships with industry leaders in Cloud, BI, and AutoML.Work in a collaborative environment that encourages innovation and creativity.

Intrinsic Robotics is a pioneering initiative under Alphabet that seeks to transform the landscape of industrial robotics. Our team is driven by the belief that innovations in artificial intelligence, perception, and simulation will significantly expand the horizons of what industrial robotics can achieve, with software and data at the heart of this evolution. Our mission is to make industrial robotics smarter, more accessible, and user-friendly for millions more businesses, entrepreneurs, and developers. We are a vibrant collective of engineers, roboticists, designers, and technologists, all committed to unlocking the creative and economic potential of robotics.RoleAs a Senior Research Scientist specializing in Robotic Foundation Models, you will spearhead the design and execution of systems that facilitate the training, deployment, and application of large-scale AI models in the robotics sector. You will play a pivotal role in defining technical strategies, mentoring fellow engineers, and ensuring the development of robust and scalable machine learning models that enhance robotic capabilities in real-world settings. Your contributions will provide essential tools and infrastructure to both internal teams and external partners, enabling the integration of advanced machine learning techniques into robotic applications.How Your Contributions Propel Our MissionLead the architecture and development of infrastructure for large-scale robotic foundation models.Oversee the training and deployment of high-performance machine learning models for robotic applications.Equip machine learning researchers and engineers with user-friendly tools and infrastructure to foster the development and implementation of AI techniques in robotics.Collaborate with product and engineering teams to define infrastructure needs and deliver effective solutions for our partners and clients.Essential Skills for SuccessPhD in Computer Science or Engineering, with a focus on Machine Learning and/or Robotics.A minimum of 4 years of experience collaborating on medium to large-scale software projects.Proficiency in programming languages such as Python and C++, along with experience in machine learning frameworks (e.g., TensorFlow, JAX).Demonstrable experience in offline Reinforcement Learning or Imitation Learning within a robotics context.Strong ability to work collaboratively within a team, guiding direction and driving towards effective solutions.Preferred Skills That Set You ApartAn academic record of publications in offline Reinforcement Learning or Imitation Learning applied to Robotics.Experience with...

About UsAt Visium, we empower enterprise leaders to define their AI and data strategies, drive large-scale transformations, and seamlessly implement AI across all operations to ensure their organizations are future-ready.With our expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence, and machine learning, we help our clients unlock and harness the full potential of their data.We are on a mission to shape a brighter future by building ethical and resilient organizations. Join a community of innovators, achievers, and compassionate individuals who strive to create a world that inspires – our Visiumees.Are you ready to join us?Our AI Engineering TeamOur AI Engineering team is responsible for building, deploying, and scaling real-world AI systems that deliver tangible business results. As a member of our team, you will engage in a range of activities, including:Translating complex business challenges into AI-driven solutionsIndustrializing machine learning models from proof-of-concept to full productionDesigning and maintaining robust AI pipelines and platformsEnsuring optimal performance through monitoring and continuous enhancement of AI systemsEstablishing best practices surrounding MLOps, architecture, and AI governanceJoin us on this exciting journey!

Join our innovative team as an Agentic AI Software Engineer. We are seeking a talented and driven individual who possesses a strong foundation in software engineering, complemented by practical experience with cutting-edge AI technologies. Your role will involve partnering with clients to design and implement sophisticated, production-ready systems that utilize LLMs, autonomous agents, and scalable cloud infrastructure.Key Responsibilities:Architect, develop, and deploy scalable, production-grade applications on leading cloud platforms such as AWS, GCP, or Azure.Create and manage agentic AI frameworks, incorporating multi-step workflows, tool integrations, and autonomous decision-making capabilities.Oversee the complete lifecycle of AI feature implementation, from proof of concept to full-scale deployment.Develop high-performance APIs and backend services for AI applications using technologies like FastAPI, Flask, or Spring Boot.Integrate generative AI solutions, including LLMs, vector databases, and RAG pipelines, into enterprise environments.Design and implement robust orchestration and retrieval mechanisms for scalable AI applications.Establish and maintain MLOps/LLMOps pipelines and CI/CD workflows for seamless integration, evaluation, and deployment.Ensure software quality through rigorous testing, monitoring, observability, and performance tuning.Collaborate effectively with clients and cross-functional teams to gather requirements and deliver impactful AI solutions.