DevOps/ML Engineer (m/f/d) at Machine Learning Reply | Munich

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!

Join the Revolution in MobilityAt Munich Electrification, we are at the forefront of transforming electric and connected mobility. Our team develops cutting-edge electronic control units tailored for electric vehicles and stationary energy storage systems serving clients worldwide. Our spirited international team comprises dedicated and talented engineers who thrive in a collaborative environment. Located in the vibrant heart of Munich at Heimeranplatz, our office is equipped with an adjacent prototype and testing lab, fostering innovation and creativity.We are driven by the following principles:Technological Leadership: We push boundaries, innovate rapidly, and foresee future demands. We take calculated risks and learn from our experiences to remain industry leaders.Sustainability: Committed to a sustainable future, we recognize our impact and inspire others in the quest for a better world.Team Culture: We believe work should be fulfilling, promoting a culture of inspiration, celebration, and teamwork worldwide.Entrepreneurial Spirit: We embrace adaptability, think ambitiously, and challenge the status quo with enthusiasm.

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.

Munich Electrification seeks an IT Applications & Cloud Engineer (f/m/d) to support and develop the company’s IT infrastructure and cloud services. This full-time role is based in Munich. Role overview This position focuses on designing, implementing, and maintaining business applications within cloud environments. The engineer will play a key part in ensuring that IT solutions remain reliable and deliver strong performance across the organization. What you will do Design, implement, and maintain business applications in cloud settings Collaborate with teams throughout the company to deliver effective IT solutions Support projects aimed at strengthening and advancing the IT landscape Location This position is based in Munich.

About NavVis NavVis GmbH creates technology that connects the physical and digital worlds. Our products help people and businesses visualize, understand, and improve real spaces. We aim to give users the tools they need to shape a better future, blending physical and digital experiences to support productivity and creativity. Role Overview: DevOps Engineer (f/m/d) The Cloud Infrastructure team at NavVis is looking for a DevOps Engineer in Munich (hybrid work setup). This role centers on building and refining our delivery platform, which relies on AWS and Kubernetes. The position is hands-on and involves working closely with other engineers to modernize and streamline our software delivery. What You Will Do Take full responsibility for the CI/CD ecosystem, ensuring smooth and reliable deployments. Champion GitOps practices across the engineering organization. Work directly with engineering teams to improve and update delivery processes. Lead the migration from TeamCity to GitHub Actions, guiding the transition and supporting teams throughout the process. Develop self-service solutions to reduce bottlenecks and increase productivity for engineers. Location This position is based in Munich with a hybrid work arrangement at NavVis GmbH.

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.

About Munich ElectrificationMunich Electrification is at the forefront of the electric and connected mobility revolution. Our dedicated team develops cutting-edge electronic control units for electric vehicles and stationary storage systems, catering to a global clientele. Nestled in the vibrant heart of Munich at Heimeranplatz, our office combines innovative design with a state-of-the-art prototype and testing lab, fostering a collaborative environment where every engineer's contribution is valued and nurtured.Our core principles include:Technological Leadership: We embrace innovation, challenge the status quo, and proactively address future mobility needs.Sustainability: We are committed to fostering a sustainable future and inspiring others to join us in making a positive impact.Team Culture: We strive to create a workplace that is both enjoyable and motivational, celebrating achievements and teamwork.Entrepreneurial Spirit: We welcome change, think ambitiously, and pursue our passion with vigor.Your RoleAs a Design Quality Engineer at Munich Electrification, you will champion the highest standards of quality and compliance for our hardware products throughout their development lifecycle—from concept to post-launch support. Your expertise will connect hardware design with testing, serving as a Subject Matter Expert (SME) in system integration, safety compliance (FMEDA, WCCA), and design quality for our advanced automotive battery components and circuit boards. You will oversee design control deliverables, ensure adherence to rigorous design guidelines, and actively participate in significant design reviews and audits, safeguarding compliance with all quality and regulatory standards.Your Future Tasks at a GlanceDesign Control & Robustness Oversight: Plan and facilitate the execution of design control deliverables throughout product development and in post-launch care activities, ensuring hardware quality from initial Altium circuit design to final manufacturing release.

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

About the RoleJoin Neural Concept’s innovative ML Application Engineering team, where our mission is to assist clients in overcoming their most intricate engineering challenges. Collaborating closely with engineering and design teams across the automotive, aerospace, and energy sectors, we delve into their pain points to identify solutions that expedite their conceptual development processes. By harnessing our platform, we unlock the potential of complex computer-aided engineering datasets, creating a significant impact on product design workflows. Our use of 3D deep learning and engineering intelligence empowers our clients to design superior products more efficiently.As a vital member of the Application Engineering Team, you will play a crucial role in guiding industry leaders to transform their product design processes using state-of-the-art technologies. Your expertise will foster trust and admiration among our clients through the delivery of high-quality technical solutions. This is your opportunity to be at the forefront of engineering and AI, collaborating with elite customers around the globe while influencing the future of the industry. If you are excited about experiencing the rapid advancements in engineering, this is the team for you.Key ResponsibilitiesCollaborate with customer engineering teams to analyze and process engineering data using our platform and Python libraries, while developing customized solutions and workflows.Implement machine and deep learning workflows to solve diverse engineering and physics challenges, delivering proofs-of-concept that illustrate how our technology adds value in CAD, CAE, and manufacturing contexts.Educate customer teams on the effective use of our methods and platform, ensuring seamless integration of AI into their existing processes.Work closely with our development team to translate client feedback and needs into product enhancements.Your ProfileYou are passionate about addressing real-world challenges through machine learning and automation, with a strong desire to transform engineering practices for industry leaders.You possess a Master’s or PhD degree in Engineering, Applied Mathematics, or Physics.You have a robust understanding of both engineering principles and machine learning concepts.

About Munich ElectrificationMunich Electrification is at the forefront of pioneering the shift towards electric and connected mobility solutions. Our team designs cutting-edge electronic control units for electric vehicles and stationary storage systems, catering to a diverse range of global clients. Nestled in the vibrant heart of Munich, our office is complemented by an adjacent prototype and testing lab, fostering collaboration among our dedicated group of exceptional engineers.We are driven by principles that shape our operations:Technological Leadership: We challenge conventions, drive rapid innovation, and remain proactive in addressing future demands.Sustainability: Our commitment to a sustainable future inspires us to effect positive change and motivate others towards creating a better world.Team Culture: We cherish a workplace that is enjoyable and collaborative, promoting a global spirit of inspiration and celebration.Entrepreneurial Spirit: We wholeheartedly embrace change, nurture bold ideas, and consistently strive to surpass boundaries.Your RoleAs a Supply Chain Analyst, you will play a vital role in forging and nurturing relationships with our electronic component suppliers to secure their production capabilities in alignment with our product needs. You will oversee supply chain forecasting and collaborate with our Operations Managers to manage the ME multi-source strategy effectively. Additionally, you will establish a Supply Chain Monitoring system, tracking and analyzing our product development lifecycle and supply chain status, with a keen focus on identifying potential obsolete components and supply bottlenecks. Regular communication with our Production Partners and key component manufacturers will be essential, as you will serve as the primary point of contact for all matters related to component supply.Your ResponsibilitiesFacilitate continuous and effective communication with our key component manufacturers and EMS partners.Develop and enhance the ME Multi Source Strategy to guarantee uninterrupted supply from all relevant suppliers.Monitor and assess the lifecycle status of each electronic component supplied for our products.Support our Operations Managers in optimizing supply chain processes and strategies.

About Emidat Emidat builds a climate-focused product management system tailored for building material manufacturers. The platform helps reduce the carbon footprint of construction materials, which contribute 11% of global greenhouse gas emissions. By gathering real-world production data, Emidat creates digital product passports with verified environmental information, making this data available across the entire value chain. The system supports assessment, design, purchasing, sales, and management of products with sustainability as a core principle. The team is developing a digital infrastructure to support faster, simpler, and more sustainable construction. Learn more about Emidat, the team, and company values. Role Overview: Senior DevOps Engineer (Munich) The Senior DevOps Engineer will guide the design and upkeep of Emidat’s infrastructure, which includes a multi-tenant AWS core, edge deployments in customer VPCs, on-premises environments, and integrations with legacy enterprise systems. The role supports a team of 7 engineers and will help scale the platform for future growth. Solutions must ensure that digital and environmental product data remain accessible for the lifetime of the buildings they support. What You Will Do in the First 6 Months Audit and improve the AWS multi-tenant architecture, CI/CD pipelines, observability stack, and deployment processes to meet production standards. Build a reliable operational backbone: deliver production infrastructure for digital product data, implement incident management, on-call, and automated remediation practices, and set up status pages, alert pipelines, and runbooks. Design a repeatable, maintainable deployment pattern for customer-hosted VPC and on-prem environments, avoiding one-off solutions. Develop secure, dependable connectivity patterns for integrating with customer legacy ERP, procurement, and compliance systems. Architect a hosting platform for digital product passports with stable URLs, data integrity, and a resilient operational model to ensure long-term sustainability.

As a Senior DevOps Engineer at rw1, you will play a pivotal role in maintaining and enhancing a robust Azure-based cloud infrastructure that supports our cutting-edge XR solutions, ensuring they operate reliably at scale for leading organizations in the life sciences sector. Your responsibilities will include designing resilient, production-ready deployment solutions and automation pipelines that streamline our product development and delivery processes, while ensuring seamless operations. With your technical expertise and proactive ownership, you will guarantee that our cloud infrastructure remains performant, resilient, secure, scalable, and maintainable over the long term.

About Munich ElectrificationMunich Electrification is a pioneering company dedicated to expediting the shift towards electric and connected mobility. We design cutting-edge electronic control units for electric vehicles and stationary storage systems, serving clients worldwide. Our diverse team consists of highly motivated engineers, working closely together in a supportive environment that values each individual’s contributions. Our office, equipped with a prototype and testing lab, is centrally located at Heimeranplatz in Munich.Our core values include:- Technological Leadership: We challenge conventional standards, innovate swiftly, and anticipate future demands. We take calculated risks and learn from our experiences to maintain our competitive edge.- Sustainability: We are committed to fostering a sustainable future, recognizing our impact, and inspiring others to contribute to a better world.- Team Culture: We believe that work should be enjoyable, cultivating a spirit of inspiration, celebration, and collaboration across our global team.- Entrepreneurial Spirit: We embrace change, think big, and pursue our passions with determination.

Role overview Munich Electrification is hiring a Digital Transformation Engineer based in Munich. This position focuses on driving digital innovation to improve operational efficiency and enhance service quality through technology. Key responsibilities Partner with teams across the company to identify opportunities for digital transformation. Design solutions that align with business goals and simplify existing processes. Apply recognized industry standards and established methods to ensure effective implementation. Support colleagues as they adopt new digital tools and workflows. Collaboration and impact This role requires working closely with colleagues from various departments. The Digital Transformation Engineer plays a key part in guiding the organization through digital change, making sure new solutions are practical and meet business needs.

Join Our Team as a Hardware Development Engineer (f/m/d)At Munich Electrification, we are at the forefront of transforming the landscape of electric and connected mobility. Our mission is to develop cutting-edge electronic control units for electric vehicles and stationary storage systems that cater to our global clientele. Our dynamic and international team comprises highly skilled engineers dedicated to innovation and excellence. Located in the vibrant heart of Munich at Heimeranplatz, our office is complemented by an adjacent prototype and testing lab.Our Core Values:Technological Leadership: We challenge the status quo, innovate rapidly, and anticipate future demands. We embrace smart risks and learn from every experience to maintain our competitive edge.Sustainability: We are committed to driving change towards a sustainable future, understanding our impact, and motivating others to create a better world.Team Culture: We believe that work should be enjoyable, fostering an environment of inspiration, celebration, and collaboration worldwide.Entrepreneurial Spirit: We welcome change, think ambitiously, and push boundaries with enthusiasm.

About Munich ElectrificationMunich Electrification is at the forefront of transforming electric and connected mobility. We specialize in creating cutting-edge electronic control units for electric vehicles and stationary storage systems, serving a diverse range of global clients. Our dynamic team of talented engineers thrives in a collaborative environment where every team member’s contributions are valued. Conveniently located at Heimeranplatz in Munich, our office is adjacent to our prototype and testing lab, fostering innovation and creativity.We are committed to the following principles:Technological Leadership: We challenge the status quo, embrace rapid innovation, and proactively anticipate industry trends. We take calculated risks and learn from our experiences to maintain our competitive edge.Sustainability: We are dedicated to driving change for a sustainable future, understanding our impact, and inspiring others to contribute to a better world.Team Culture: We believe that work should be fulfilling and enjoyable, promoting a culture of inspiration, celebration, and teamwork across the globe.Entrepreneurial Spirit: We embrace change, think big, and pursue our passions with fervor.

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.

ResponsibilitiesAs a Data Scientist (m/w/d), you will autonomously develop and implement data models and algorithms tailored to our clients' unique solutions, identifying and analyzing problems within an analytical framework.You will create and maintain data pipelines and dashboards, engaging with a diverse array of data-related components such as data platforms, dashboards, and products centered around data and machine learning.Work on complex projects and datasets, analyzing business challenges and translating them into data science solutions.Leverage your strong communication skills to collaborate closely with our clients, analyzing their issues and effectively conveying the results.You will work across various technology stacks (e.g., Azure, AWS, GCP, DBX, ELK, Spark, Databricks, etc.).Act as a mentor for junior data scientists, facilitating knowledge transfer within the team.Benefit from our team’s resources, learning opportunities, hackathons, and other avenues to advance your technical development and maintain a presence in the machine learning community.BenefitsRegular and systematic training opportunities (both external and internal) in the fields of Data Engineering, Cloud Architecture, and Data Science.Access to industry-spanning projects (large and medium-sized companies in sectors such as banking, insurance, automotive, retail, etc.).Leading partnerships in the fields of Cloud, AI, and Data Science.

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.