MOIN,
BERLIN

Location: Munich (Hybrid/On-site depending on team setup) Type: Full-time Company Overview We are working with a fast-growing Vision / AI company building production software for the food and retail industry. Their systems help customers reduce food waste and improve operational efficiency - supporting sustainability goals through real-time computer vision and automation. With teams across Europe, the US, and Asia, we combine startup pace with real-world deployments at enterprise customers.The Role We are hiring a hands-on engineer to support the delivery of our computer vision / ML products into production. This role sits at the intersection of software engineering applied machine learning, with a strong focus on making ML models run fast, reliably, and at scale on edge devices. You will be responsible for our core video processing framework and deployment stack, working closely with senior ML engineers to ensure model inference performance, stability, monitoring, and field success. While you won’t be expected to design new ML algorithms or lead model training, you will be involved in diagnosing model issues in the field and improving real-world performance through optimization and iteration.This is a great fit for someone who enjoys real-world ML delivery: video streams, edge devices, inference performance, and production debugging.Key Responsibilities ML Model Runtime & Edge PerformanceMake ML models run efficiently on edge devices (latency, throughput, CPU/GPU utilization, memory constraints)Support inference optimization and troubleshooting (profiling, batching, pipeline tuning, runtime constraints)Investigate real-world model failures (data quality, camera placement, lighting, drift, edge-case behaviour) and work with ML engineers on mitigation strategiesEnsure robust model rollout processes: versioning, validation, safe deployment cyclesVideo Pipeline Engineering (Core Focus)Design and optimize real-time video processing pipelines using GStreamerIntegrate and manage streams from IP cameras (RTSP/ONVIF) and USB camerasDebug complex video stream issues (encoding/decoding, dropped frames, jitter, latency, network instability)Deployment & Production OperationsPackage and deploy services using Docker/Podman on Linux-based edge systemsTroubleshoot issues directly on production/staging Linux hosts (logs, profiling, system-level debugging)Implement and maintain monitoring and device health checks (e.g., Checkmk or similar)Event Streaming & InterfacesBuild interfaces between edge devices and online tools / connected machinesWork with event streaming systems (Kafka or similar) for detections, events, and telemetrydeep Kafka expertise isn’t required, but strong conceptual understanding isMust-Have Skills2–5 years of professional experience in software engineering / applied ML engineeringStrong Python skills (asyncio, threading, multiprocessing)Strong Linux skills: CLI, systemd, bash scripting, networking fundamentalsSolid experience with containerization (Docker or Podman)Comfortable debugging real systems remotely and working end-to-end (not just coding isolated modules)Interest in ML delivery and computer vision systems in productionNice to HaveExperience with GStreamer (big plus)Familiarity with computer vision pipelines (OpenCV, image processing)Experience with FFmpeg, RTSP, H.264/H.265, ONVIFWebRTC exposure (low-latency streaming)Kafka / message broker familiarityGerman language skills (corporate language is English)Why This Role is InterestingYou’ll work at the “real ML” layer: getting models running in production environments where conditions are messyStrong collaboration with senior ML engineers, with room to grow into more ML responsibility over timeDirect ownership of the edge inference video stack powering real customer deploymentsInternational team, low bureaucracy, hands-on culture

Senior ML Engineer – Autonomous Driving (Mapless, AI-First) A well-funded European deep-tech company is building fully AI-driven, mapless autonomous driving technology in collaboration with leading OEMs and Tier 1 suppliers. We are hiring experienced ML engineers who want to move beyond incremental ADAS and work on large-scale, AI-native autonomy systems deployed directly on vehicles. What You’ll Work OnLearning-based scene understanding from raw multimodal sensor dataOnline road topology & lane connectivity extractionMultimodal transformers / graph neural networks for dynamic traffic modelingEnd-to-end perception → prediction → planning architecturesEnsuring geometric & temporal consistency in real-world drivingDeployment of production-grade ML models to embedded vehicle systemsThis is not simulation-only research. Models are trained at scale and validated directly on real vehicles. What We’re Looking ForStrong ML fundamentals (deep learning, transformers, large-scale training)Solid Python skills; C for production integrationExperience in one or more of:Autonomous drivingRobotics3D computer visionMultimodal learningSensor fusionLearning-based planningPhD is welcome but not required. Real-world deployment experience is highly valued. Why Join?Flat technical structure with real ownershipStrong compute infrastructureClose collaboration with major automotive partnersEquity / stock optionsOpportunity to shape next-generation autonomy from the ground upLocation: Germany (hybrid model available)

Job Title: Humanoid Robotics Product Manager (Mandarin Speaking) 📍 Location: Dubai, UAE (Relocation Required) 💰 Salary: $5,000 – $10,000 per month (tax-free) A global industrial technology organisation is building a new robotics and automation division in Dubai, focused on deploying humanoid robots in real industrial environments such as warehouses, factories, construction sites, and maintenance operations. We are looking for a Humanoid Robotics Product Manager to lead the development and deployment of these systems — translating cutting-edge robotics capabilities into scalable commercial products. This role sits at the intersection of robotics engineering, product strategy, and industrial operations, working closely with robotics engineers, AI teams, and enterprise customers.Fluent Mandarin Chinese and English are mandatory for this role. Key Responsibilities • Define the product strategy and roadmap for humanoid robotics solutions in industrial environments • Identify high-value use cases across logistics, manufacturing, construction, and inspection • Translate real-world operational challenges into product requirements • Work closely with robotics hardware, AI/software, and autonomy teams • Lead product development from concept → pilot → large-scale deployment • Manage industrial pilots and convert them into scalable commercial offerings • Support go-to-market strategy, customer engagements, and strategic enterprise deals Requirements • Fluent Mandarin Chinese and English • 5 years of experience in product management or technical leadership in robotics / automation • Strong understanding of industrial environments (manufacturing, logistics, construction, etc.) • Experience delivering hardware software products from concept to deployment • Degree in Robotics, Engineering, Computer Science, or related field • Willingness to relocate to Dubai and travel internationally when required Nice to Have • Experience with humanoid robots or mobile manipulation systems • Familiarity with robot autonomy, perception, and control architectures • Experience launching robotics products into industrial markets 🚀 Why this role? • Work on cutting-edge humanoid robotics deployments • Join a fast-growing robotics initiative within a major global industrial group • Tax-free salary in Dubai • Opportunity to build products deployed across global industrial markets

Job Title: Humanoid Robotics Product Manager (Mandarin Speaking) 📍 Location: Dubai, UAE (Relocation Required) 💰 Salary: $5,000 – $10,000 per month (tax-free) A global industrial technology organisation is building a new robotics and automation division in Dubai, focused on deploying humanoid robots in real industrial environments such as warehouses, factories, construction sites, and maintenance operations. We are looking for a Humanoid Robotics Product Manager to lead the development and deployment of these systems — translating cutting-edge robotics capabilities into scalable commercial products. This role sits at the intersection of robotics engineering, product strategy, and industrial operations, working closely with robotics engineers, AI teams, and enterprise customers.Fluent Mandarin Chinese and English are mandatory for this role. Key Responsibilities • Define the product strategy and roadmap for humanoid robotics solutions in industrial environments • Identify high-value use cases across logistics, manufacturing, construction, and inspection • Translate real-world operational challenges into product requirements • Work closely with robotics hardware, AI/software, and autonomy teams • Lead product development from concept → pilot → large-scale deployment • Manage industrial pilots and convert them into scalable commercial offerings • Support go-to-market strategy, customer engagements, and strategic enterprise deals Requirements • Fluent Mandarin Chinese and English • 5 years of experience in product management or technical leadership in robotics / automation • Strong understanding of industrial environments (manufacturing, logistics, construction, etc.) • Experience delivering hardware software products from concept to deployment • Degree in Robotics, Engineering, Computer Science, or related field • Willingness to relocate to Dubai and travel internationally when required Nice to Have • Experience with humanoid robots or mobile manipulation systems • Familiarity with robot autonomy, perception, and control architectures • Experience launching robotics products into industrial markets 🚀 Why this role? • Work on cutting-edge humanoid robotics deployments • Join a fast-growing robotics initiative within a major global industrial group • Tax-free salary in Dubai • Opportunity to build products deployed across global industrial markets

AI Solution Architect – GenAI & Azure AI (Contract, Remote)We’re looking for a senior AI Solution Architect to lead the design of generative AI solutions built on Microsoft’s cloud and AI platforms. This role focuses on shaping end-to-end architectures for GenAI use cases and guiding delivery teams through to production.The role:You’ll own solution architecture across multiple generative AI initiatives, working from early use-case definition through to implementation. The focus is on designing scalable, secure, and production-ready AI solutions using Azure and Microsoft AI services.What you’ll be doingDesigning end-to-end architectures for generative AI and AI-driven applicationsTranslating business requirements into Azure-based solution designs and delivery approachesDefining patterns for LLM-enabled solutions, including search-augmented and retrieval-based architecturesMaking architectural decisions around Azure services, integration patterns, and deployment modelsProviding technical leadership to AI and engineering teams during deliveryReviewing solution designs and implementations to ensure quality, performance, and securityTechnical environmentMicrosoft Azure cloud services and PaaS componentsAzure AI and generative AI platforms (including LLM-based services and search-driven AI)Cloud-native architectures (serverless, containers, managed services)CI/CD pipelines and DevOps practices within Microsoft ecosystemsPython and/or modern Microsoft application stacksContract detailsInitial 9 month contract, (with strong potential to extend further)Fully remote€400–€425 per day