ai engineer for llm ops & evaluation (m/f/d)

mlops engineer (m/f/d) – embodied ai & robotics platform

director, it engineering - end user support

senior applied ai / ml data engineer (f/m/x)

ai engineer for llm ops & evaluation (m/f/d) Jobs in Munich

ml platform engineer (m/f/d) Jobs in Munich

ml platform engineer (m/f/d)

mlops engineer (m/f/d) – embodied ai & robotics platform Jobs in Munich

planner stack engineer

simulation model engineer

mlops engineer

develop

<div>
 
 
 
 About the Company
 
 
 
 
 My client is a highly innovative, venture-backed robotics pioneer based in Munich's thriving deep-tech hub. They bridge the gap between advanced artificial intelligence and the physical world by building state-of-the-art robotic platforms designed to automate complex tasks in dynamic, real-world environments. By integrating next-generation hardware with advanced Computer Vision, Spatial Intelligence, and Embodied AI, they empower industries to run more fluidly, efficiently, and safely.
 
 
 
 
 
 
 
 Role Overview
 
 
 
 
 The company is seeking an engineering-focused
 
 MLOps Engineer
 
 with a foundational background in Applied AI to take ownership of the machine learning lifecycle pipeline. This is not a typical cloud-SaaS or FinTech MLOps role; the engineer will solve the unique challenges of
 
 Edge MLOps
 
 - taking complex perception and vision models from cloud-based experimentation and deploying them directly onto resource-constrained physical robotic hardware.
 
 
 The ideal candidate sits at the intersection of Machine Learning, Infrastructure Engineering, and Hardware-Software Integration. They will collaborate heavily with AI Researchers, Core Robotics Software Engineers, and Cloud Infrastructure teams to ensure that the company&rsquo;s moving fleet of robots can reliably see, reason, and act.
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 
 Pipeline Automation:
 
 Design, build, and maintain robust, end-to-end ML orchestration pipelines (from data ingestion and synthetic data generation to distributed multi-GPU training and model testing).
 </li>
 <li>
 
 Hardware Optimization &amp; Edge Deployment:
 
 Develop automated compilation, quantization, and pruning workflows to optimize deep learning models (e.g., Computer Vision, Transformer-based architectures) targeting edge-compute accelerators like NVIDIA Jetson or custom automotive/robotic SoCs.
 </li>
 <li>
 
 Data Fleet Infrastructure:
 
 Engineer high-throughput, multi-modal data loops capable of handling massive streams of sensory data (camera frames, point clouds, telemetry) and establish smart data-curation methods to upload edge-edge failures for retraining.
 </li>
 <li>
 
 Lifecycle &amp; Experiment Management:
 
 Set up and enforce rigorous experiment tracking, model registry, versioning, and approval gates using tools like MLflow or Weights &amp; Biases to guarantee absolute reproducibility.
 </li>
 <li>
 
 Continuous Monitoring &amp; Drift Detection:
 
 Build observability stacks and dashboards (e.g., Prometheus, Grafana) to track real-time model inference degradation, sensor drift, and physical environment anomalies out in the field.
 </li>
 <li>
 
 CI/CD Integration:
 
 Construct reliable infrastructure-as-code (IaC) and containerization frameworks to push seamless Over-the-Air (OTA) model and firmware updates securely to a fleet of physical robots.
 </li>
 </ul>
 
 
 
 
 
 
 Profile &amp; Requirements
 
 
 
 <ul>
 <li>
 
 Education:
 
 University degree (B.Sc., M.Sc., or Ph.D.) in Computer Science, Robotics, Electrical Engineering, Data Infrastructure, or a comparable technical field.
 </li>
 <li>
 
 Experience:
 
 2 to 5 years of professional experience in MLOps, DevOps, or Machine Learning Infrastructure engineering roles.
 </li>
 <li>
 
 Software Skills:
 
 Production-grade
 
 Python
 
 skills are mandatory. Comfort working in Linux environments and a familiarity with C++ or hermetic build systems (e.g., Bazel) is highly beneficial.
 </li>
 <li>
 
 AI/ML Foundations:
 
 Solid baseline understanding of Machine Learning and Deep Learning concepts, specifically with hands-on exposure to frameworks like
 
 PyTorch
 
 , OpenCV, or Hugging Face Transformers.
 </li>
 <li>
 
 Cloud &amp; Infrastructure:
 
 Proven experience managing production workloads in containerized environments via
 
 Docker
 
 and
 
 Kubernetes
 
 (including experience configuring accelerator node pools/GPUs). Strong familiarity with AWS, GCP, or Azure infrastructure and Terraform.
 </li>
 <li>
 
 Nice-to-Haves:
 
 Exposure to the Robot Operating System (
 
 ROS/ROS2
 
 ), robotics data serialization/logging tools (like MCAP or Foxglove), or model optimization runtimes (TensorRT, ONNX Runtime).
 </li>
 </ul>
 
 
 
 
 
 
 What the Company Offers
 
 
 
 <ul>
 <li>
 
 Deep Tech Impact:
 
 The chance to work directly on physical robotic platforms and watch code directly translate into hardware mechanics.
 </li>
 <li>
 
 Highly Competitive Compensation:
 
 Attractive base salary paired with equity package structures and performance-driven bonuses.
 </li>
 <li>
 
 Modern Work Culture:
 
 Flexible hybrid working arrangements, 30 days of annual paid vacation, and access to state-of-the-art laboratory and testing spaces in Munich.
 </li>
 <li>
 
 Relocation Support:
 
 Comprehensive assistance with visa processing, bureaucratic onboarding, and relocation expenses for international talent moving to Munich.
 </li>
 </ul>
</div>

MLOps Engineer (m/f/d) – Embodied AI & Robotics Platform

ProDIG GmbH

<div><div><div>With highly motivated people, we develop sophisticated software systems that efficiently create long-term added value for our customers &ndash; this is what ProDIG GmbH stands for. As a digital consulting and service company, ProDIG supports many customers from diverse industries such as banking &amp; FinTech, IT &amp; telecommunications, aerospace and automotive.

We focus on trust and always have an open ear for our employees and customers. Our values such as humanity, solution orientation and a practical hands-on mentality form the foundation for the development of our young and dynamic company.

Shape the digital future with us as! 


Salary: approx. &euro;65,000 &ndash; &euro;75,000 gross per annum

Your tasks:
<ul>
<li>Support the production deployment and operation of Kubernetes-based platforms across AWS and on-premises environments.</li>
<li>Design, implement, and continuously improve scalable, highly available cloud-native infrastructure.</li>
<li>Automate infrastructure provisioning, deployments, and operational workflows using GitOps, CI/CD, and Infrastructure as Code.</li>
<li>Develop and maintain monitoring, logging, and observability solutions to ensure platform reliability and performance.</li>
<li>Support the operation and optimization of MLOps platforms for production machine learning workloads.</li>
<li>Collaborate closely with software development and security teams to implement secure, resilient platform architectures.</li>
<li>Analyze, troubleshoot, and resolve complex infrastructure and platform issues while driving continuous improvements.</li>
<li>Contribute to the implementation of security, compliance, and operational best practices across the platform landscape.</li></ul> 


Your profile:
<ul><li>Y Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, Engineering, or a comparable qualification.</li>
<li>Experience in Site Reliability Engineering, Platform Engineering, Infrastructure Engineering, DevOps, or MLOps within complex IT environments.</li>
<li>Strong expertise in operating production Kubernetes platforms across AWS and on-premises infrastructures.</li>
<li>Tech Stack: Kubernetes, AWS, Linux, GitOps, CI/CD, Terraform, Ansible, Helm, ArgoCD and/or Flux, Grafana, Prometheus, Infrastructure as Code; experience with MLOps platforms is advantageous.</li>
<li>Solid understanding of cloud-native architectures, distributed systems, networking, and platform automation.</li>
<li>Knowledge of the German BSI IT-Grundschutz framework is considered an advantage.</li>
<li>Professional proficiency in English and German (C1 or higher).</li>
<li>Employment is subject to the successful completion of a security screening in accordance with applicable national security regulations; eligibility depends on the relevant legal requirements, including nationality-related restrictions where applicable.</li></ul> 


Our Benefits:

It is important to us that you not only develop professionally as part of our team, but also feel good personally. That&rsquo;s why we offer individual benefits that are tailored to your needs &ndash; because with us, you count as a unique person.

Contact:

ProDIG offers you the opportunity of an exciting career in a highly innovative, digital-technological environment. We will be happy to assist and answer your questions at any time. We are looking forward to your application!

Important note:

Please be advised that a valid work permit for Germany is required for non-EU citizens. Unfortunately, applications without a valid work permit and sufficient German language skills may not be considered.</div></div></div>

DevOps Platform Engineer (m/f/d) Munich

MHP – A Porsche Company

<div>
 
 Aufgaben
 
 
 
 Du begeisterst dich f&uuml;r innovative Technologien und Generative AI? Du m&ouml;chtest nicht nur Architekturen entwerfen, sondern KI-L&ouml;sungen produktiv machen, skalierbare Systeme bauen und Kunden bei der Integration moderner AI unterst&uuml;tzen? Dann werde Teil unseres Teams und gestalte mit uns die Zukunft von KI-gest&uuml;tzten Architekturen, Anwendungen und Workflows.
 
 
 Dabei warten die folgenden Aufgaben auf dich:
 
 
 
 <ul>
 <li>
 Entwurf skalierbarer KI-Architekturen: Entwicklung von performanten Architekturen und Integration von ML- und GenAI-Modellen in Kundenumgebungen (z.  SAP, CRM, Microservices)
 </li>
 <li>
 Implementierung von Pipelines &amp; Workflows: Aufbau skalierbarer Daten- und AI-Architekturen, Integration in bestehende Pipelines, (Weiter)Entwicklung von XOps-L&ouml;sungen
 </li>
 <li>
 Backend-Services &amp; Systemintegration: Entwicklung performanter Services zur Integration von Modellen in produktive Workflows und Sicherstellung reibungsloser &Uuml;berg&auml;nge zwischen Training, Deployment und Anwendung
 </li>
 <li>
 Deployment, Monitoring &amp; Optimierung: Umsetzung von Prototypen und MVPs in Cloud-Umgebungen, Performance-Optimierung und Sicherstellung von Skalierbarkeit und Security
 </li>
 <li>
 Identifikation von Use Cases: Analyse von Gesch&auml;ftsprozessen, Erkennung von Potenzialen f&uuml;r GenAI und Ableitung technischer L&ouml;sungen
 </li>
 <li>
 Projekt- und Stakeholdermanagement: Moderation von Workshops, enge Abstimmung mit interdisziplin&auml;ren Teams, internationalen Projektpartnern und Kunden
 
 
 
 </li>
 </ul>
 
 Anforderungen
 
 
 
 Um f&uuml;r deinen Weg gewappnet zu sein, hast du folgende Qualifikationen im Gep&auml;ck:
 
 
 
 <ul>
 <li>
 Abgeschlossenes Studium in Informatik, Software Engineering, Data Science oder einem vergleichbaren Bereich mit mindestens 4 Jahren Berufserfahrung idealerweise im Consulting- und (Gen)AI-Umfeld
 </li>
 <li>
 Leidenschaft f&uuml;r AI &amp; Generative AI, skalierbare Systeme, Cloud-Technologien und den Aufbau performanter AI-Infrastrukturen
 </li>
 <li>
 Expertise in Python, ML, LLMs, RAG, Cloud-Umgebungen (Azure, AWS, GCP), Docker, Kubernetes, REST APIs, CI/CD
 </li>
 <li>
 Kenntnisse in Softwarearchitektur, Cloud-native Design, MLOps und AI Security
 </li>
 <li>
 Deine Arbeitsweise ist gepr&auml;gt von Eigenverantwortung, Zielorientierung, Teamf&auml;higkeit und Hands-on-Mentalit&auml;t
 
 
 
 </li>
 </ul>
 Wissenswertes vor der Abfahrt:
 
 
 
 <ul>
 <li>
 
 Beginn:
 
 nach Vereinbarung &ndash; immer zu Beginn eines Monats
 </li>
 <li>
 
 Arbeitszeit:
 
 in Vollzeit (40h) und/oder Teilzeit m&ouml;glich; 30 Urlaubstage
 </li>
 <li>
 
 Arbeitsverh&auml;ltnis:
 
 Unbefristet
 </li>
 <li>
 Bereich: Consulting
 </li>
 <li>
 
 Sprache:
 
 sicheres Deutsch &amp; Englisch
 </li>
 <li>
 
 Flexibilit&auml;t &amp; Reisebereitschaft
 
 </li>
 <li>
 
 Sonstiges:
 
 eine g&uuml;ltige Arbeitserlaubnis; bei Bedarf k&ouml;nnen wir die Arbeitserlaubnis im Rahmen unseres Recruiting-Prozesses beantragen. Das Verfahren ben&ouml;tigt Zeit und hat Einfluss auf das Startdatum
 </li>
 </ul>
</div>

(Senior) AI & Generative AI Engineer (all genders)

appliedAI

<div><h4 class="jobSectionHeader">&Uuml;ber uns</h4>
The appliedAI Initiative elevates Europe&rsquo;s industry to become shapers in the age of AI, creating a future that we desire to live in. Through our ecosystem of strong partners, comprehensive programs, services and solutions we advance companies holistically on their AI journey. With our uniquely diverse, interdisciplinary, and driven team, we build on deep technical expertise while specializing on applicability of the solutions. We share a mindset of collaboration and openness with our ecosystem of leading companies and tech players. Our common goal is to strengthen the European landscape, jointly creating unique knowledge for applying trustworthy AI. We believe that AI Agents will be the dominant topic for AI in the near future and that appliedAI with its partner ecosystem will impact how this technology is being used in industry and beyond in Europe.<h4 class="jobSectionHeader"> 
Deine Aufgaben</h4>
appliedAI&rsquo;s Internal AI team sits at the heart of how we bring AI into the real world &mdash; keeping the infrastructure that powers our internal tools and partner-facing AI products running reliably and at scale. As a working student (m/f/x), you&rsquo;ll join a small team of experienced engineers who care deeply about operational quality and are happy to share what they know. This is a hands-on role where you&rsquo;ll build practical intuition for production AI systems while contributing meaningfully from day one. 
 
Your tasks will include:<ul><li>
Support the operation of containerized model-serving systems (Docker Compose) across staging and GPU clusters (H100 and V100)</li><li>
Monitor system health, inspect logs, and help troubleshoot issues in collaboration with platform engineers</li><li>
Assist with deployment workflows using GitLab CI/CD, including staging validation and controlled rollouts</li><li>
Support the LiteLLM routing layer and help maintain model endpoints (chat, reasoning, embedding, speech APIs)</li><li>
Run API and integration tests to ensure OpenAI-compatible behavior across services</li><li>
Contribute to monitoring and observability by maintaining Grafana dashboards and Prometheus alerting rules</li></ul><h4 class="jobSectionHeader">
Dein Profil</h4><ul><li>
Currently enrolled in a Bachelor&rsquo;s or Master&rsquo;s program in Computer Science, Data Engineering, Software Engineering, or a related field</li><li>
Solid Python skills and practical experience with software development or infrastructure projects</li><li>
Hands-on experience with Linux, Docker, and Docker Compose</li><li>
Familiarity with Git, CI/CD pipelines, and GitLab CI</li><li>
Strong curiosity about LLM systems, AI infrastructure, or MLOps; interest in observability tools such as Prometheus and Grafana</li><li>
Careful and responsible mindset when working with production systems; strong communication skills in English, German is a plus</li></ul><h4 class="jobSectionHeader">
Deine Vorteile</h4><ul><li>
A highly qualified and motivated team of ~90 people is on a journey to change the rapidly evolving European AI Landscape</li><li>
Experience the best of both worlds with our hybrid work model: You can choose to work from our vibrant offices - either at the IPAI in Heilbronn or the House of Communication in Munich - while also enjoying the flexibility to work remotely a few days each week</li><li>
Opportunity to shape a variety of projects and the development of new, original content based on the latest developments in AI and its adoption in businesses</li><li>
An atmosphere that encourages to think and experiment in new ways with software, hardware, and processes</li><li>
A highly visible initiative that helps you build a large and high-level network of start-ups, partners, and tech companies</li><li>
Sports membership with Wellpass to access thousands of sports facilities all over Germany (and beyond), as well as online courses</li></ul><h4 class="jobSectionHeader">
Kontakt</h4>
Lucas Fernandes - Senior Talent Acquisition Specialist 
appliedAI Initiative GmbH, August-Everding-Str. 25, 81671 M&uuml;nchen<h4 class="jobSectionHeader">
&Uuml;ber uns</h4>
Find out more on https://www.appliedai.de/ and https://www.appliedai-institute.de/</div>

Working Student (m/f/x) - LLM Infrastructure & MLOps Platform Engineering

Luma Vision

<div>LUMA Vision is a start-up based in Dublin (Ireland) and Munich (Germany) developing innovative imaging technologies to advance healthcare and solve global unmet clinical needs. We apply rigorous engineering and design to create new hardware, software and data-science technologies towards clinical procedures. Our focus is on developing sophisticated ultrasound cardiac imaging and navigation systems that provide essential real-time visualisation for advanced electrophysiology and structural heart procedures, leveraging diverse technologies to transform patient care.
To drive our platform development, we are looking for a Medical Deep Learning Computer Vision Engineer to join our growing team in our quest to produce high-quality medical device software. You will become part of a dynamic group of innovators, shaping the future of imaging in healthcare. 
Your role with us:
As a Medical Deep Learning Computer Vision Engineer, you will be responsible for working across research, technology development, and clinical application development. Your expertise makes you ready to own technical modules and processes end-to-end, working collaboratively within the team on both classical computer vision and artificial intelligence (AI) towards shipping production-quality code in Python and, where performance demands it, C++ and CUDA.
Your technical work will span from low-level signal processing to advanced deep learning and contribute to large-scale dataset preparation and curation. You will engage across research, hardware, clinical, and regulatory teams and help guide junior engineers through code reviews and technical design. You are comfortable using GIT and CI/CD to collaborate on and deliver code that is tested, documented, and ready for a regulated medical device environment. 
What you offer:<ul><li>
BSc or MSc degree in computer science, biomedical engineering or a related field.</li><li>
3+ years of professional experience in image processing, computer vision or deep learning for real-world applications</li><li>
Strong proficiency in Python with demonstrated ability to write production-grade code.</li><li>
Professional experience in deep learning development for computer vision.</li><li>
Proven ability to read, implement and critically evaluate state-of-the-art approaches from literature.</li><li>
Expertise with 3D (and ideally 4D) data. Familiarity with medical imaging is highly preferred.</li><li>
Experience working in a regulated environment or a strong appreciation for software quality practices including testing, documentation and validation.</li><li>
Hands-on, collaborative problem-solving mindset and excellent communication skills in English.</li></ul> 
Nice-to-Have:<ul><li>
Experience with C++ and/or CUDA.</li><li>
Experience with medical imaging (cardiac focus and/or ultrasound a plus)</li><li>
Exposure to MLOps and model deployment.</li><li>
Secure data handling with GDPR compliance for sensitive (healthcare) data.</li></ul> 
What we offer:<ul><li>
Ownership of meaningful work, your code will directly impact patient care and clinical outcomes.</li><li>
A growing and collaborative multinational team with a strong focus on team culture and individual development.</li><li>
Access to global network of clinical, technical and business innovators.</li><li>
Competitive salary with participation in employee participation scheme</li><li>
Flexible hybrid working with ergonomic offices in Dublin and Munich, both easily reachable by public transport.</li></ul>
LUMA Vision is an equal opportunity employer and welcomes applications from all qualified individuals regardless of ethnicity, sex, disability, religion/belief, sexual orientation or age.
Would you like to become part of our team?
We would love to hear from you!</div>

Medical Deep Learning Computer Vision Engineer (m/w/d)

SIXT

<div>Company Description 
Job Description 
In this role, you drive the vision and roadmap for SIXT's central MLOps/LLMOps Platform and AI Service tooling. You empower over 80 Data Scientists, ML Engineers, and product teams to create cutting-edge GenAI applications. Join our Data Science team and become part of Team Orange in Pullach close to Munich and apply today.
YOUR ROLE AT SIXT<ul><li>
You own the vision, roadmap, and backlog for two platform products: the MLOps/LLMOps Platform and the AI Service (LLM Gateway, Document Ingestion, Observability, internal chatbot platform)</li><li>
You set priorities, make tradeoff calls, and stay accountable for the value delivered</li><li>
You run the agile cadence (stand-ups, planning, refinement, reviews, retros) and keep the team focused and unblocked</li><li>
You moderate and steer technical discussions, grasp the core of the debate, and drive the team to clear decisions</li><li>
You represent your users and turn their needs into platform capabilities and adoption</li><li>
You manage dependencies and risks across both products and align an international set of stakeholders</li></ul>
YOUR SKILLS MATTER<ul><li>
Experience Proven track record as a Technical Product Owner, TPM, or Agile Delivery Lead for software or platform products</li><li>
Ownership You set direction, prioritize, and drive outcomes rather than just coordinate</li><li>
Technical competence You got a solid understanding of MLOps/LLMOps and platform engineering, enough to steer technical discussions and own technical prioritization</li><li>
Great to have You are familiar with AWS (SageMaker, Bedrock), ML/LLM lifecycles, CI/CD, Docker/Kubernetes, LLM gateways, RAG, and agentic frameworks (e.g. LangGraph, LangChain)</li><li>
Communication You explain complex topics clearly and influence decisions in an international environment</li><li>
Languages You are fluent in English - our working language across an international team and stakeholder environment</li></ul>
WHAT WE OFFER<ul><li>
Extra benefits Enjoy discounts on SIXT rent, share, ride and SIXT+, attractive vehicle leasing offers, and exclusive deals with partners for travel, tech, fashion and more</li><li>
Mobility boost We support you with a monthly mobility allowance of &euro;20 per month for even more freedom</li><li>
Future security We contribute to your retirement plan and support you with capital-forming benefits to ensure you are well covered</li><li>
Feel-good atmosphere Stay active with our modern SIXT gym, various leisure activities like the gaming area or the SIXT choir, and enjoy our high-quality employee restaurant</li><li>
Flexibility Enjoy 30 days of vacation and a hybrid working model with flexible hours</li><li>
Giving back Take one day each year to volunteer at a charitable organization dedicated to supporting children</li></ul> 

Additional Information<div></div> 
About us:
We are a globally leading mobility service provider with a revenue of &euro;4.00 billion and around 9,000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental), SIXT share (car sharing), SIXT ride (taxi, ride, and chauffeur services), and SIXT+ (car subscription), giving our customers access to our fleet of 350,000 vehicles, the services of 4,000 cooperation partners, and around 5 million drivers worldwide. Together with our franchise partners, we are present in more than 110 countries at 2,000 rental stations. At SIXT, top-tier customer experience and outstanding customer service are our highest priorities. We believe in true entrepreneurship and long-term stability and align our corporate strategy with foresight. Get started with us and apply now!</div>

(Senior) Technical Product Owner - AI Platform (m/f/d)

osapiens

<div>
 
 Department:
 
 osapiens Terra
 
 
 
 Location:
 
 M&uuml;nchen
 
 
 
 Description
 
 
 
 
 About the role
 
 
 
 As a Machine Learning Engineer (m/f/x), you will work on the machine learning systems powering our geospatial analytics platform. You will contribute to the development, deployment, and improvement of production ML models that analyze satellite imagery and detect environmental risks at scale. You will collaborate closely with product managers, software engineers, and geospatial experts to build scalable ML solutions that support real-world sustainability and compliance use cases. Your work may include improving existing deforestation detection models, developing new deep learning approaches for remote sensing data, and building reliable tooling and infrastructure for model training and deployment.
 
 
 
 Your Responsibilities
 
 
 
 <ul>
 <li>
 Develop, train, and improve machine learning models for geospatial and satellite imagery analysis
 </li>
 <li>
 Contribute to the full ML lifecycle, including experimentation, evaluation, deployment, monitoring, and maintenance
 </li>
 <li>
 Work on production systems that process large-scale satellite and geospatial datasets
 </li>
 <li>
 Collaborate with ML engineers, backend engineers, product teams, and geospatial analysts to deliver reliable analytics products
 </li>
 <li>
 Improve model performance, scalability, and robustness across different geographies and datasets
 </li>
 <li>
 Build and optimize data pipelines, tooling, and workflows for efficient ML development
 </li>
 <li>
 Apply modern deep learning and statistical techniques to remote sensing and environmental data
 </li>
 <li>
 Support rapid experimentation while maintaining production reliability
 </li>
 <li>
 Contribute to technical discussions, code reviews, and engineering best practices
 
 
 </li>
 </ul>
 
 You May Be a Good Fit If You
 
 
 
 <ul>
 <li>
 Have a strong quantitative background in computer science, engineering, mathematics, remote sensing, or a related field
 </li>
 <li>
 Have strong programming skills in Python and hands-on experience with modern deep learning frameworks such as PyTorch or TensorFlow
 </li>
 <li>
 Hands-on experience with MLOps tools such as Weights &amp; Biases, cloud infrastructure including Amazon Web Services, and/or high-performance computing environments
 </li>
 <li>
 Feeling comfortable developing, training, and optimizing machine learning models in production environments
 </li>
 <li>
 Communicate clearly and collaborate effectively across technical and non-technical teams
 </li>
 <li>
 Have experience working with large datasets and distributed data processing workflows
 </li>
 <li>
 Work effectively with AI-assisted development and coding tools
 </li>
 <li>
 Are fluent in English (C1+). German skills are a plus
 
 
 </li>
 </ul>
 Nice to have
 
 
 <ul>
 <li>
 Experience with computer vision tasks such as segmentation, classification, change detection, or time-series analysis
 </li>
 <li>
 Experience working with remote sensing or satellite data (SAR, optical, LIDAR)
 </li>
 <li>
 Familiarity with geospatial data processing libraries and tools
 </li>
 <li>
 Experience deploying ML systems into production environments
 </li>
 <li>
 Understanding of environmental, climate, or sustainability-related use cases
 </li>
 <li>
 Experience translating complex business or regulatory requirements into data-driven solutions
 
 
 </li>
 </ul>
 
 Join us for this and more...
 
 
 
 <ul>
 <li>
 The opportunity to work on meaningful technology with real-world environmental impact
 </li>
 <li>
 A highly technical and collaborative team environment
 </li>
 <li>
 Modern ML infrastructure and large-scale geospatial datasets
 </li>
 <li>
 Ownership and growth opportunities based on your experience and interests
 </li>
 <li>
 Flexible working environment in our Munich office near Sendlinger Tor
 </li>
 <li>
 Competitive compensation and benefits
 </li>
 </ul>
</div>

Machine Learning Engineer (m/f/x) - Geospatial AI

Explore 127+ Mlops engineer in Munich this July. Find roles across top companies and apply now to boost your career.