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(senior) ai & generative ai engineer (all genders)

director, it engineering - end user support

ai software engineer (f/m/d) Jobs in Munich

ai software engineer (f/m/d)

member of technical staff, product (ai agents) Jobs in Munich

senior ai engineer for the infotainment platform (f/m/x) Jobs in Munich

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

(senior) ai & generative ai engineer (all genders) Jobs in Munich

mlops engineer m f d embodied ai robotics platform

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

Capmont

<div>
 Search
 
 
 jobs
 
 
 Explore
 
 
 companies
 
 
 Join talent network
 
 
 Talent
 
 
 AI Software Engineer (f/m/d)
 
 
 Manex AI
 
 
 Software Engineering, Data Science
 
 
 Munich, Germany
 
 
 Posted on Jun 30, 2026
 
 
 Apply now
 
 
 
 AI Software Engineer (f/m/d)
 
 
 
 
 About Us
 
 
 
 Manex AI is on a mission to enable autonomy for the world&rsquo;s leading organizations and is currently building autonomous factories. After raising our Seed Round from Lightspeed and BlueYard and winning leading enterprise manufacturing customers, we are now focused on scaling operations across all departments. With our world-class team, we are looking for the key individuals who will help take us to the next level and build a truly outstanding organization.
 
 
 
 Your Role
 
 
 
 As an AI Software Engineer, you build the applications that make autonomy real on the factory floor. You work embedded inside the production environments of our customers - industry leaders including BMW, Audi, BSH, Stellantis, Still, TDK Electronics, and Co. - where our platform "Kosmos" meets the messy reality of manufacturing. You take the hardest technical problems our customers have and turn them into working software, powered by data and AI, inside their most critical, high-stakes processes.
 
 
 Most of your time goes into building: developing AI-driven applications, designing the integration architectures around them, and shipping solutions that create measurable impact - while becoming a trusted technical contact for our customers along the way.
 
 
 
 Your Responsibilities
 
 
 
 <ul>
 <li>
 Direct software and AI application development within customer projects
 </li>
 <li>
 Troubleshoot, document, co-create solutions alongside senior software engineers, and drive product development
 </li>
 <li>
 Support technical integration of our platform into customer IT landscapes
 </li>
 <li>
 Learn how production processes, IT infrastructure and AI products intersect
 </li>
 <li>
 Translate customer requirements into technical solutions and specifications
 
 
 </li>
 </ul>
 
 Your Profile
 
 
 
 <ul>
 <li>
 Degree in Computer Science, Information Systems, or similar
 </li>
 <li>
 0 to 4 years professional experience or internships in software engineering or similar
 </li>
 <li>
 Hands-on experience through projects, ventures, or product development
 </li>
 <li>
 Curiosity for manufacturing, how factories actually run, newest tech, product development, and beyond
 </li>
 <li>
 Business-fluent in German and English
 </li>
 <li>
 Based in Munich or willing to relocate, ready to go all-in with us
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Unique opportunity to become part of a top-tier team with hands-on responsibility and learn how to build lasting collaborations with leading customers
 </li>
 <li>
 Mentorship &amp; fast learning curve in a high-impact AI-Startup environment, incl. flat hierarchy, direct access to founders, and fast decisions
 </li>
 <li>
 Top-of-market compensation with equity package
 </li>
 <li>
 Develop a best-in-class network (funding, industry, and talent) in Europe and the US
 </li>
 <li>
 A fast-paced environment backed by the world's best investors with the world's leading organizations as customers
 
 
 </li>
 </ul>
 Are you willing to start contributing to European autonomy at scale? Apply now!
 
 
 Apply now
 
 
 See more open positions at Manex AI
</div>

AI Software Engineer (f/m/d)

Manex AI

<div><h1 class="jobSectionHeader">AI Software Engineer (f/m/d)</h1><div>
</div><h2 class="jobSectionHeader">
About Us</h2>
Manex AI is on a mission to enable autonomy for the world&rsquo;s leading organizations and is currently building autonomous factories. After raising our Seed Round from Lightspeed and BlueYard and winning leading enterprise manufacturing customers, we are now focused on scaling operations across all departments. With our world-class team, we are looking for the key individuals who will help take us to the next level and build a truly outstanding organization.<div> 
</div><h2 class="jobSectionHeader">
Your Role</h2>
As an AI Software Engineer, you build the applications that make autonomy real on the factory floor. You work embedded inside the production environments of our customers - industry leaders including BMW, Audi, BSH, Stellantis, Still, TDK Electronics, and Co. - where our platform &quot;Kosmos&quot; meets the messy reality of manufacturing. You take the hardest technical problems our customers have and turn them into working software, powered by data and AI, inside their most critical, high-stakes processes.
Most of your time goes into building: developing AI-driven applications, designing the integration architectures around them, and shipping solutions that create measurable impact - while becoming a trusted technical contact for our customers along the way.<div> 
</div><h2 class="jobSectionHeader">
Your Responsibilities</h2><ul><li>
Direct software and AI application development within customer projects</li><li>
Troubleshoot, document, co-create solutions alongside senior software engineers, and drive product development</li><li>
Support technical integration of our platform into customer IT landscapes</li><li>
Learn how production processes, IT infrastructure and AI products intersect</li><li>
Translate customer requirements into technical solutions and specifications</li></ul><div> 
</div><h2 class="jobSectionHeader">
Your Profile</h2><ul><li>
Degree in Computer Science, Information Systems, or similar</li><li>
0 to 4 years professional experience or internships in software engineering or similar</li><li>
Hands-on experience through projects, ventures, or product development</li><li>
Curiosity for manufacturing, how factories actually run, newest tech, product development, and beyond</li><li>
Business-fluent in German and English</li><li>
Based in Munich or willing to relocate, ready to go all-in with us</li></ul><div> 
</div><h2 class="jobSectionHeader">
What We Offer</h2><ul><li>
Unique opportunity to become part of a top-tier team with hands-on responsibility and learn how to build lasting collaborations with leading customers</li><li>
Mentorship &amp; fast learning curve in a high-impact AI-Startup environment, incl. flat hierarchy, direct access to founders, and fast decisions</li><li>
Top-of-market compensation with equity package</li><li>
Develop a best-in-class network (funding, industry, and talent) in Europe and the US</li><li>
A fast-paced environment backed by the world's best investors with the world's leading organizations as customers</li></ul><div></div> 
Are you willing to start contributing to European autonomy at scale? Apply now!</div>

<div><h1 class="jobSectionHeader">AI Software Engineer - Internship (f/m/d)</h1><div></div> 
About Us 
Manex AI is on a mission to enable autonomy for the world's leading organizations, currently building the production system for the era of autonomous manufacturing. With our Seed Round raised from Lightspeed and BlueYard and leading manufacturing enterprises relying on our systems, we are now scaling fast. For our world-class team, we are looking for exceptionally driven students who want real ownership early.
Your Role 
You will build the software and AI applications that power autonomous manufacturing. You work on our platform &quot;Kosmos&quot; alongside our engineers, shipping features and AI-driven solutions that go straight into live production environments at industry leaders including BMW, Audi, BSH, Stellantis, Still, TDK Electronics, and Co.
From your first week, you own pieces of real problems. You write code that goes into production, you see your work run inside real factories, and you learn exactly how technical decisions create measurable impact for some of the most demanding manufacturers in the world.
For interns who deliver, this is the fastest path into a full-time engineering role.
Your Responsibilities<ul><li>
Build software and AI application features within real customer projects</li><li>
Work alongside senior engineers to troubleshoot, document, and ship solutions</li><li>
Support the technical integration of our platform into customer environments</li><li>
Turn concrete customer requirements into working technical solutions</li><li>
Learn how production processes, IT infrastructure, and AI products come together</li></ul>
Your Profile<ul><li>
Currently studying Computer Science, Information Systems, or similar, towards the end of your Bachelor's or the start of your Master's</li><li>
Strong hands-on coding ability, proven through your own projects, ventures, or open-source work</li><li>
An ownership mindset: you take initiative, move fast, and finish what you start</li><li>
Ideally strong experience in Python, TypeScript and Docker</li><li>
Fluent in English and ideally in German as well</li><li>
Based in Munich or willing to relocate for the duration of the internship</li></ul>
We appreciate your application even if you don't tick all the boxes.
What We Offer<ul><li>
Real ownership from day one</li><li>
A fast-track into a full-time role
</li><li>Direct mentorship from senior engineers and direct access to founders</li><li>
Hands-on experience onsite with real customers, real production systems, and frontier AI</li><li>
A fast-paced environment backed by the world's best investors, with the world's leading organizations as customers</li></ul> 
Want to build real things at the edge of industrial AI? Apply now.</div>

AI Software Engineer - Internship (f/m/d)

ARX Robotics GmbH

<div><div><h2 class="jobSectionHeader">About the Role</h2>
</div>
<div></div><div>As a Field Robotics Software &amp; Communications Engineer (m/f/d), you are the crucial link between our advanced robotics and the real world. You will be the on-site software and communications expert during military exercises, customer demonstrations, and complex integration projects, ensuring our autonomous systems perform flawlessly under the most demanding conditions.

This role is for a hands-on problem-solver who thrives at the intersection of software, networking, and hardware. You will configure controllers, master tactical communication links, and troubleshoot complex systems directly in the field. Your work ensures our platforms stay connected, intelligent, and mission-ready when it matters most.
</div>
<div><h2 class="jobSectionHeader">What You'll Build</h2>
</div><ul><li>Deploy, configure, and validate our robotic platforms at customer sites and during live field exercises.</li>
<li>Master our diverse communication stack, from tactical radios and satellite terminals to secure LTE/5G networks.</li>
<li>Configure mission software and control interfaces to ensure stable and reliable field operations.</li>
<li>Integrate cutting-edge sensors, payloads, and third-party systems using modern APIs and SDKs.</li>
<li>Become the go-to expert for diagnosing and resolving complex software and networking issues under operational pressure.</li>
<li>Empower end-users by providing expert on-site training, scenario support, and technical assistance.</li>
<li>Translate field learnings into actionable feedback for our engineering teams, directly shaping the future of our products.</li>
</ul><div><h2 class="jobSectionHeader">What You Bring</h2>
</div><ul><li>A strong technical background in computer science, robotics, or engineering, gained through a degree or equivalent hands-on experience.</li>
<li>Deep knowledge of software and communication systems, ideally applied to robotics or unmanned platforms.</li>
<li>Hands-on experience with embedded Linux, networking fundamentals (TCP/UDP, routing), and scripting (C++/Python).</li>
<li>Practical experience with advanced communication hardware, such as tactical radios, LTE/5G modems, or satellite systems.</li>
<li>The ability to troubleshoot complex, system-level issues that span software, communications, and hardware.</li>
<li>A proactive, hands-on mindset and a genuine passion for solving operational problems in the field.</li>
<li>Clear communication skills in English; proficiency in German is a plus.</li>
<li>Willingness to travel frequently to support missions across Germany and the EU - ideally based in or around Munich.</li>
</ul>
 <h2 class="jobSectionHeader">Nice To Have</h2>

<ul><li>Experience with defense communication systems or mesh networking (MANET).</li>
<li>Knowledge of cybersecurity principles for communication and unmanned systems.</li>
<li>Familiarity with deploying software updates in mobile or field environments.</li>
<li>An understanding of ruggedized hardware and outdoor operational constraints</li>
</ul>
Please note: You do not need to meet every single requirement to apply. We welcome motivated candidates who are eager to grow into the role and develop their expertise further.
<h2 class="jobSectionHeader">
 What We Offer</h2>

Join a mission-driven European defense tech company at a pivotal stage of growth, where you can help shape meaningful technology, take ownership early, and grow with the business!
<ul>
<li>Competitive compensation package including a bonus opportunity</li>
<li>27 vacation days to start, increasing with tenure up to 30 days</li>
<li>Employer-supported pension contribution</li>
<li>Learning &amp; development support and team events budget</li>
<li>Employee discounts and flexible benefits budget via Probonio</li>
<li>Hybrid working setup depending on role and team needs</li>
<li>Structured salary bands, levelling framework, and bi-annual development conversations</li>
<li>Referral bonus program, dog-friendly office, and relocation support where applicable</li></ul><div><h2 class="jobSectionHeader"> 
About Us</h2>

ARX is a dual-use technology company that specializes in developing autonomous unmanned systems and sensors for the European defence sector. Our dual-use unmanned ground systems and sensors assist NATO Armies and civilian first responders in tackling their most challenging problems by providing them with training and information to make better decisions and take effective actions in life-or-death situations. 
 
As our team continues to expand rapidly, we are seeking motivated candidates who are excited to work in a highly energetic, creative, and innovative team dedicated to developing autonomous systems for challenging environments. We operate in a dynamic sector where collaboration, sharing innovative ideas, and developing novel problem-solving strategies are ingrained in our work culture. 
 
If you are passionate about overcoming challenges that have a real impact on the security of our democracies, apply here to join ARX and help shape the future of dual-use technology! 
 
ARX is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply.

You can find ARX Robotics Applicant Privacy Policy here.</div></div>

Field Robotics Software & Communications Engineer (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

Airbus

<div>Job Description:
In order to support us, Airbus Defence and Space is looking for an 
<h1 class="jobSectionHeader"> 
AI Solutions Engineer (d/f/m)
</h1>At Airbus Defence and Space, AI and data are our most strategic assets. As a forward deployed AI (artificial intelligence) implementation lead, you are the technical expert who turns our AI capabilities and platforms into mission-critical AI solutions. Working closely with business lines and internal teams, you will be bridging the gap between mission-critical requirements, AI capabilities and operational needs. 
 
In your job, you will work closely with business teams, managing an end-to-end lifecycle of AI use cases from initial technical assessments and evaluation of possible solutions to deployment into production. You will be an integral part of the team responsible for the delivery of a wide range of AI solutions, incl. GenAI (generative AI) and autonomous agentic systems for complex workflows.
Your location
 
Our site is just a stone's throw away from Munich, the beautiful capital of Bavaria. You are into sports and other outdoor activities? The Alps and Lake Starnberg are within an hour&rsquo;s reach, offering a multitude of recreational options.
The other possible locations for this role are:
Madrid / Getafe
 
Toulouse
Our Benefits for You
<ul><li>Fair Compensation &amp; Extras: Attractive remuneration and individual additional benefits, such as company pension schemes, mobility offers (e.g., bike leasing), or corporate discounts with partner companies in accordance with our current guidelines.
</li><li>Time for You (and Your Loved Ones): 30 days of annual leave based on our collective agreement (35-hour week); work-life balance through flexible working hours (flextime), mobile working, part-time options, job sharing, and sabbatical opportunities.
</li><li>Growth Made Easy: Excellent professional development opportunities and international, group-wide career perspectives.
</li><li>Feel Good at Work: On-site company doctor; comprehensive health programs (sports courses, preventive care, etc.), canteen and cafeteria, and local childcare facilities at selected locations.
</li><li>Diversity Connects: Work in a diverse environment with more than 140 nationalities, where exchange, mutual support, and inclusion are part of our DNA. 
</li></ul> 
Your tasks and responsibilities
<ul><li>Problem Discovery &amp; Feasibility: Partner with business leads, technical teams to review feasibility of AI use cases, identify technical bottlenecks and lead development of the required AI solutions from GenAI prompt engineering requests, to implementing RAG (retrieval augmented generation) pipeline, and end-to-end orchestrating of a full agentic solution.
</li><li>Tactical Implementation: Evaluate implementation requirements of AI use cases across various Airbus networks / deployment environments and available technology to make critical decisions to minimize end-user / operations impacts and individual AI use cases on the business. This may involve revision of API services, data connectors with tech. teams, optimization of prompts with end-users, and fine-tuning of available LLM (large language models) for optimal fit-for-purpose.
</li><li>Implementation of Agentic Systems: Where appropriate, drive key decisions on the design / implementation of Agentic AI workflows, enabling the GenAI platform to act as an orchestrator of multi-staging tasks, internal platforms, systems and tools while ensuring adherence to ethical guidelines of AI use.
</li><li>Platform Evolution: Act as forward deployed technical liaison and subject matter expert positioned between AI development teams and business teams, actively capturing issues, incidents, failures of individually deployed AI use cases and feed to development teams for future platform evolution.
</li><li>Sovereignty &amp; Compliance: Leverage understanding of applicable EU AI compliance policies, security standards and data sovereignty regulations for secure deployment and operations of AI use cases in Airbus environment.
</li><li>AI solutions delivery: Manage the end-to-end data science lifecycle for integrating GenAI features into existing solutions, focusing on data preparation, LLM fine-tuning, RAG implementation, and defining rigorous evaluation metrics to enhance the performance of the internal solution.
</li></ul>Desired skills and qualifications
<ul><li>Bachelor's Degree in computer science, software engineering, data science or other related technical discipline or preferably a Master&rsquo;s Degree in Artificial Intelligence (AI), Data Science, or Computer Science with specialization in cloud computing, DevOps and/or AI is preferred, reflecting the advanced nature of the role.
</li><li>A strong understanding of standard AI / GenAI/ Agentic AI development and implementation approaches into cloud platforms (AWS/GCP) and into containerized solutions (via Docker, Kubernetes, OpenShift).
</li><li>Expertise in development and implementation of LLMs, RAG pipelines, and Agentic AI across distributed environments and networks.
</li><li>Expertise in Agile, DevOps methodologies, and CI/CD (Continuous Integration / Continuous Deployment) practices, essential for the end-to-end delivery focus.
</li><li>Experience with scripting languages (e.g. Python , JavaScript, etc.) for automation and ML/DevOps libraries.
</li><li>At least 5+ years continuous working experience in a multinational company in software engineering, data science, and forward-deployed technical roles.
</li><li>Previous experience as a liaison between tech development and business teams
</li><li>Python / C++ expert level and experience working across the full stack applications to develop / integrate AI solutions into technology platforms, systems, network environments, etc.
</li><li>Mastery of vector databases, graph databases, and experience with basic data ingestion / data quality principles and workflows for evaluation of data sets for AI consumption.
</li><li>Experience with implementing rigorous scientific evaluation frameworks for optimal AI outputs.
</li><li>Recommended additional industry-recognized certifications (e.g. cloud platform certification, DevOps / Container certification, MLOps-specific certifications, etc.)
</li><li>Excellent problem-solving and analytical skills, with the ability to work independently in a fast-paced environment.
</li><li>Strong communication and collaboration abilities, and comprehensive end-user support and stakeholder management skills and ability to work independently and as part of a team in a fast-paced environment.
</li><li>Fluent English, German and English is a plus 
</li></ul> 
Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions.
Take your career to a new level and apply online now! 
 
#MYCYM
This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company&rsquo;s success, reputation and sustainable growth.
Company:
Airbus Defence and Space GmbH
Employment Type:
Permanent
-
Experience Level:
Professional
Job Family:
Digital &lt;JF-IM-DI&gt;
By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
 
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com .
At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.</div>

AI Solutions Engineer (d/f/m)

Explore 197+ Mlops engineer m f d embodied ai robotics platform in Munich this July. Find roles across top companies and apply now to boost your career.

197 mlops engineer m f d embodied ai robotics platform jobs In Munich

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

AI Software Engineer (f/m/d)

AI Software Engineer (f/m/d)

AI Software Engineer - Internship (f/m/d)

Field Robotics Software & Communications Engineer (m/f/d)

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

AI Solutions Engineer (d/f/m)