Machine Learning Consultant (m/w/d) at Machine Learning Reply | Munich

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 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.

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 opportunity to influence our product development and help shape a platform that could serve millions.We prioritize speed and quality, embracing a culture of rapid iteration and continuous improvement. If you are passionate about leveraging AI to innovate and scale solutions, we want you on our team.Why Choose Knowlix?Backed by prominent investors, we are a well-funded startup with ambitious goals.Our technology is already making waves with early adopters experiencing its benefits.We are tackling a vast market with a product designed to redefine workplace collaboration.As one of the first hires, your contributions will have a significant impact on our success.We believe that focused iteration is key to rapid development.This is not just a job; it's your chance to help create a lasting legacy.Your RoleYou will be responsible for designing and deploying cutting-edge machine learning systems, specifically focusing on LLM-driven agents and self-optimizing workflows. This hands-on position will require you to develop robust data pipelines, foster rapid experimentation, and ensure continuous model enhancement in a dynamic startup environment.Your ResponsibilitiesCreate LLM-based agents, implement tool-using workflows, and design autonomous self-improvement systems.Design, train, and assess machine learning models in the areas of NLP/LLM, computer vision, and data retrieval.Build data pipelines, develop training code, and create tools for experimentation and automated deployment.Utilize PyTorch for model development and tools like Weights & Biases for experiment tracking.Implement performance monitoring, including oversight for drift and safety measures.

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.

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.

Hast du dein Studium bereits abgeschlossen oder stehst kurz davor? Bist du momentan in einer Kanzlei beschäftigt und möchtest mehr als nur Routineaufgaben erledigen? Bei uns hast du die Möglichkeit, in einer Kanzlei zu arbeiten, die in deine Zukunft investiert.Wir bieten dir die Chance, von erfahrenen Steuerberatern zu lernen und dich aktiv weiterzuentwickeln. Denn wir sind überzeugt: Wer heute gut ausbildet, hat morgen die besten Steuerberater im Team.Deine Aufgaben:Erstellung von Steuererklärungen für Privatpersonen und Unternehmen mit professioneller BegleitungBuchführung und Erstellung von Jahresabschlüssen – du lernst, machst und verbesserst dich kontinuierlichRecherche zu steuerrechtlichen Fragestellungen – werde zum kompetenten AnsprechpartnerDirekter Austausch mit Steuerberatern – kein AlleinkämpfenSchrittweise Übernahme eigener Mandate, wenn du bereit bist

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.

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.

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.

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.

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.

Brainlab AG is seeking a Working Student in Digital Learning to support the R&D Product Support team in Munich. This position centers on helping shape and enhance digital learning solutions that contribute to the success of Brainlab’s products. Key responsibilities Assist with the creation and improvement of digital learning materials for product support. Take part in ongoing product development and digital learning projects. Collaborate with team members in a supportive, cooperative environment. Build hands-on experience using digital learning tools and processes in real-world scenarios. Location This role is based in Munich.

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

Arbeiten Sie in einer dynamischen Kanzleigruppe, die sich auf die Prüfung von mittelständischen Unternehmen konzentriert, die echte Geschäftsmodelle betreiben. Anders als in großen Beratungshäusern, wo der Gestaltungsspielraum begrenzt ist, bieten wir Ihnen die Möglichkeit, Prüfmethoden zu entwickeln und nicht nur anzuwenden. Unsere interdisziplinären Teams (WP/StB/RA) fördern fachliche Diskussionen und bieten direkten Kontakt zur Geschäftsleitung. Im Rahmen von Due-Diligence-Projekten, Unternehmensbewertungen und Compliance-Audits haben Sie die Chance, in einem echten Netzwerk zu agieren.Sie suchen eine Position, die sowohl fachlich herausfordernd ist als auch Raum für Ihr Privatleben lässt? Hier sind Sie genau richtig!

About AlixPartners AlixPartners is synonymous with expertise, implementation strength, and accountability, delivering measurable results "when it really matters." As a globally operating consulting firm, we empower our clients to respond swiftly and decisively to their most pressing challenges. Our seasoned consultants specialize in creating, safeguarding, and restoring corporate value. In 2023, AlixPartners was recognized by "manager magazin" and the Scientific Society for Management & Consulting (WGMB) as the most implementation-focused consulting firm. For over 40 years, we have been supporting our clients with a team of approximately 4,000 professionals across 27 offices worldwide. TMT Sector In the context of rapid disruption and exponential growth, including M&A, carve-outs, and private equity investments, as well as challenges throughout the entire supply chain, our Technology, Media, and Telecommunications (TMT) sector faces significant pressures. The winners in this highly competitive environment aggressively adapt their business models, organizational structures, competencies, and cost structures to seize growth opportunities. Our global team combines deep industry knowledge with extensive transformation experience and a range of methodologies tailored specifically for the TMT sector and technology industry. We are committed to demonstrably enhancing corporate value through a clear focus on profitability and growth. As a member of our TMT team, you will engage with large corporations as well as private equity funds and their portfolio companies across all three sectors (Technology, Media, and Telecommunications). Our Offer Dynamic, hands-on, and pragmatic: At AlixPartners, your passion drives your career forward through high performance, initiative, and tangible results. You will work alongside highly experienced team members in small teams, collaborating directly with owners, board members, and senior management. You will deliver quickly implementable solutions to urgent issues, often in time-critical situations where much is at stake. Thanks to our One-Firm Firm approach, we provide cross-border opportunities for training as well as personal and professional development. Moreover, you can expect an attractive compensation package with comprehensive benefits and numerous initiatives from our Employer Resource Groups.

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.

Are you passionate about digital sales and eager to make an impact in a fast-paced environment? Join us at docplanner as a Digital Sales Consultant in Munich! In this role, you will be responsible for driving sales initiatives, engaging with clients, and delivering personalized solutions that meet their needs. Your expertise will play a crucial role in enhancing our clients' digital presence and optimizing their operations.

Join Brainlab as an Application Consultant specializing in Radiotherapy (RT) within the DACH region. In this dynamic role, you will be responsible for providing expert guidance and support to healthcare professionals, ensuring they maximize the efficacy of our innovative radiotherapy solutions. Your insights will directly contribute to patient care improvements.As the ideal candidate, you will combine technical knowledge with a passion for healthcare, working closely with clients to deliver tailored solutions and exceptional service. You will play a critical role in training users, troubleshooting issues, and providing ongoing support to ensure the successful implementation of our technologies.