Generative AI Engineer (m/w/d) at machinelearningreply | Munich

Job ResponsibilitiesAs a Generative AI Engineer (m/w/d), you will independently develop and implement Generative AI models, (Multi-)agent-based LLM applications, and AI-driven solutions tailored to our clients' specific needs. This involves identifying and analyzing challenges within the context of AI and generative models.You will create and maintain AI pipelines, APIs, and interactive applications, working with components such as Large Language Models, multimodal models, Knowledge Graphs, and AI-supported products.Your role will also include working on complex AI projects, analyzing business applications for generative AI, and translating them into technical solutions.Utilizing your communication skills, you will collaborate closely with our clients to analyze their challenges in the context of GenAI and present the outcomes in an understandable manner.You will work across various technology stacks, including Azure, AWS, GCP, Databricks, LangChain, Hugging Face, OpenAI APIs, LLM frameworks, and cloud infrastructure.Acting as a mentor for junior colleagues in the field of AI, you will facilitate knowledge transfer within the team.You will benefit from our team's learning resources, hackathons, and various opportunities to advance your technical development in Generative AI and maintain a presence in the community.BenefitsRegular and systematic training opportunities in Generative AI, LLM development, and cloud architecture.Access to cross-industry projects, such as banking, insurance, automotive, and retail.Collaborations with leading partners in cloud, AI/ML, and AutoML, along with access to enterprise versions of leading LLMs.Work in an open, flat environment within a broad Reply network for knowledge exchange.

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.

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.

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.

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.

D ONE is an elite consultancy firm specializing in data, artificial intelligence, and transformation initiatives.We empower organizations to translate their ambitions into tangible impact by aligning strategic goals, establishing robust data foundations, delivering scalable high-impact solutions, and fostering trust through governance and a people-centric approach. Operating from Zurich, Munich, and Athens, we leverage our extensive expertise across the entire data value chain to support clients throughout Europe. Our methodology is pragmatic, focused on people, and designed to create lasting value.In this position, you will guide our clients through the conception, planning, and execution of data and AI solutions. Based in our Munich office, you will collaborate with your project team to deliver the high quality and reliability for which we are renowned.Your Responsibilities:Assessing client requirements and designing customized data solutions.Engaging in multiple project areas, including cloud engineering, infrastructure, data engineering, data science, and generative AI applications.Communicating findings and insights to stakeholders and management.Occasionally traveling to Switzerland and other international locations to meet clients and collaborate with our headquarters team in Zurich.What You Bring:A university degree in Computer Science or a related field.A minimum of 5 years of relevant work experience.Extensive hands-on experience with contemporary data engineering tools and platforms (e.g., Azure Data Factory, Databricks, Synapse, dbt, Palantir Foundry), along with proficiency in SQL, Python, and Spark.Experience in designing and implementing generative AI solutions, such as retrieval-augmented generation (RAG) systems, copilots, intelligent search, and workflow automation.A strong grasp of data modeling and data warehousing principles.A pragmatic and results-driven mindset.Excellent communication skills in English.What We Offer:A straightforward and low-distraction environment that allows for a focus on what truly matters.An international team of skilled professionals from diverse backgrounds, who are ambitious, enjoy challenges, and value a positive work atmosphere.Growth opportunities through our D ONE Academy, including mentoring programs, knowledge-sharing sessions, expert groups, and tailored training in soft skills and leadership.Regular team-building events and social gatherings.To Succeed in This Role, You Should:Be committed to understanding your clients' needs.Deliver exceptional results that provide high business value in an easily understandable format.Possess the intellectual agility needed to facilitate smooth collaboration.Value innovative and collaborative teamwork.

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.

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 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.

Role Overview machinelearningreply is looking for an Agentic AI Software Engineer to join the team in Munich, Bayern. This role centers on building intelligent, production-ready systems using large language models (LLMs), autonomous agents, and scalable cloud infrastructure. The position involves close collaboration with clients to deliver practical AI solutions, with a focus on agentic and generative AI applications. Main Responsibilities Design, develop, and deploy scalable systems on cloud platforms such as AWS, GCP, or Azure. Build and manage agentic AI systems, emphasizing multi-step workflows, tool integration, and autonomous decision-making. Lead the implementation of AI-driven features from proof of concept through to production deployment. Create high-performance APIs and backend services for AI applications using frameworks like FastAPI, Flask, or Spring Boot. Integrate generative AI technologies, including LLMs, vector databases, RAG pipelines, and orchestration frameworks (such as LangChain or LangGraph), into enterprise environments. Design and maintain orchestration and retrieval pipelines to support scalable AI applications. Set up and manage MLOps and LLMOps pipelines, along with CI/CD workflows for integration, evaluation, and deployment. Ensure software quality through thorough testing, monitoring, observability, and performance tuning. Work closely with clients and cross-functional teams to gather requirements and deliver effective AI solutions. What machinelearningreply Offers Opportunities to contribute to innovative AI and software engineering projects across sectors such as Banking, Insurance, Automotive, and Retail. Growth in areas like MLOps, cloud architecture, data engineering, and generative AI. Collaboration with leading technology partners in cloud computing, AI, and automation. Access to training, certifications, and interdisciplinary project work.

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.

Join our dynamic team at Clifford Chance as a Corporate/M&A Attorney (m/w/d) in Munich. This is a unique opportunity for a passionate legal professional eager to shape the future of corporate law. You will work alongside experienced colleagues in a stimulating environment, engaging in high-profile mergers and acquisitions, corporate restructuring, and complex legal transactions.

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.

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.

JOIN US IN TRANSFORMING EDUCATIONBecome part of our mission to create the leading AI learning companion for 1 billion students worldwide.At Knowunity, we envision a future where quality education is accessible, enjoyable, and beneficial for every student across the globe. Founded in 2020 straight out of high school, we are dedicated to redefining the learning experience for students.Our innovative AI learning companion is already utilized by millions of students each week. Recently, we secured €27 million in funding—the largest education investment in Europe in the past three years. The AI learning sector is at a pivotal moment, enabling unprecedented personalization at scale, and we are determined to establish the first AI learning unicorn in this domain.Join our talented team of 60 passionate builders, committed to serving 1 billion students globally. If we realize our product vision, you will contribute to creating something transformative that will redefine education as we know it.Seize the opportunity to be part of a generational company.YOUR ROLEYou will have the chance to shape the future of student learning. Engineering is the heartbeat of our organization; it drives Knowunity's vision. You will take ownership of this educational revolution, focusing on:Innovative video content creation at scale with true personalization.Developing predictive models for topics to provide tailored guidance and personalization, tapping into the vast potential of AI.Creating diverse and guided learning practices to modernize the approach to student engagement.Implementing multi-modal outputs, moving beyond text-heavy formats to interactive cards, graphs, and practice elements.Understanding the learning styles of Generation Alpha and adapting our solutions accordingly.Exploring how AI companions can foster social learning and community among students.Quickly deploying A/B tests to millions of users to refine our offerings.YOUR IMPACT:Lead the end-to-end development of AI products that deliver tangible value to students across our extensive user base.

hawk seeks a Senior Generative AI Engineer based in Munich. This role centers on bringing new AI technologies into the company’s product line, with a focus on practical solutions for real-world challenges. Key responsibilities Collaborate with teams across hawk to design and implement generative AI features Use current AI tools and methods to enhance existing products and develop new offerings Provide technical expertise to projects aimed at solving concrete problems Role overview This position offers the chance to apply advanced AI techniques directly to product development. The work involves both improving what exists and shaping what comes next in hawk’s lineup.

D-ploy is a global provider of IT and engineering solutions, delivering exceptional services across various sectors including Switzerland, Germany, Czech Republic, Austria, the United Kingdom, and the United States.We take pride in offering innovative solutions to industry-leading clients. By fostering relationships and building trust within the IT community, we enhance our clients' IT productivity and contribute to their overall success and values.We are looking for dedicated, flexible, and solution-oriented individuals who are eager to work onsite in Munich and become part of a dynamically growing international organization.Join us in making IT work!

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.

Join Our Innovative TeamAt Munich Electrification, we are pioneering the future of electric and connected mobility. Our mission is to drive the transition by developing cutting-edge electronic control units for electric vehicles and stationary storage solutions tailored for a global clientele. Based in the vibrant heart of Munich, our specialized team of engineers thrives in an environment that values each individual's contributions and fosters professional growth.Our Core Values:Technological Leadership: We embrace innovation, challenge the status quo, and anticipate future needs.Sustainability: We are committed to creating a sustainable future, inspiring change, and positively impacting our world.Team Culture: We believe in making work enjoyable, promoting inspiration and collaboration across our global team.Entrepreneurial Spirit: We encourage bold ideas and the pursuit of excellence in all endeavors.Your Role:We are looking for a dedicated and detail-oriented Test System Technician to enhance our engineering team. In this role, you will be responsible for constructing, integrating, and maintaining test systems, including Hardware-in-the-Loop (HIL) testing for battery management electronics. A solid technical background, hands-on experience with electronic test systems, and a passion for automotive and embedded technology are essential.Your Responsibilities:System Construction: Design and assemble HIL and EOL test systems to validate embedded automotive electronics, collaborating closely with system, test, and industrialization engineers.System Maintenance: Conduct regular maintenance, calibration, and troubleshooting of test systems to ensure optimal performance, updating systems as new technologies emerge.Documentation: Accurately document maintenance activities and system modifications.