MOIN,
BERLIN

Product Developer – GeoAI & Spatial IntelligenceLocation: Europe (hybrid or remote options available)Level: Mid to SeniorAbout our client:Our client is a Swiss-Italian deep-tech company focused on applying machine learning to large-scale spatial data. By combining satellite imagery, mobility data, and crowd-sourced mapping, they deliver actionable intelligence across sectors including urban management, transportation, infrastructure, real estate, insurance, marketing technology, and socio-demographic analysis.They work at the intersection of Earth Observation, AI, and real-world decision-making, helping public and private organisations turn complex geospatial data into practical outcomes.The role:Our client is looking for a Product Developer to help shape the next generation of GeoAI-powered products. This role sits at the boundary between research, engineering, and the market.You will analyse past and ongoing projects, identify where research outputs can be transformed into scalable, market-ready products, and help define the product strategy moving forward. You will also assess market needs across multiple sectors and guide the innovation roadmap accordingly.This is a hands-on, cross-functional role requiring both strategic thinking and practical execution.Key responsibilities:Work closely with data scientists, engineers, researchers, and commercial teams to design and evolve GeoAI products.Translate complex AI, Earth Observation, and urban analytics outputs into clear, user-focused products.Conduct market analysis to identify unmet needs, sector gaps, and high-impact opportunities.Evaluate whether existing capabilities can solve identified problems, and define enhancements where needed.Define new products when market needs are not addressed by current solutions, ensuring feasibility and strategic alignment.Build and maintain a clear product roadmap prioritised by impact, value, and user needs.Gather and interpret feedback from users, clients, and market research to drive continuous improvement.Track product performance post-launch and recommend refinements or new initiatives.Required background:Bachelor’s or Master’s degree in Engineering, Data Science, GIS, Environmental Science, Business, Marketing, Product Management, or a related discipline.5 years of experience in product strategy or product development involving geospatial data.Strong problem-solving ability, with a track record of turning research, technical concepts, and market insight into concrete product plans.Solid understanding of software development lifecycles, data visualisation, and UX/UI principles.Comfortable working in fast-moving, multidisciplinary teams and with external stakeholders.Familiarity with remote sensing or urban analytics is required.Experience with AI, cloud platforms, geospatial tooling, or mapping libraries is a strong advantage.Why this opportunity:Join a fast-growing international deep-tech company operating at the forefront of geospatial AI.Work on real-world problems with tangible impact on cities, infrastructure, and society.Collaborate with leading public and private institutions on globally relevant projects.Flexible working environment with a strong emphasis on learning, creativity, and innovation.

MLOps EngineerLocation: Barcelona (Hybrid) Contract: Fixed-term until June 2026 Salary: €55,000 base pro rata Bonuses: €3,000 sign-on €500/month retention bonus Relocation: €2,000 package available Eligibility: EU work authorisation required The opportunity We’re hiring an MLOps Engineer to join a fast-scaling European deep-tech company working at the forefront of AI model efficiency and deployment. This team is solving a very real problem: how to take large, cutting-edge language models and run them reliably, efficiently, and cost-effectively in production. Their technology is already live with major enterprise customers and is reshaping how AI systems are deployed at scale. This is a hands-on engineering role with real ownership. You’ll sit close to both research and production, helping turn advanced ML into systems that actually work in the real world. What you’ll be working onBuilding and operating end-to-end ML and LLM pipelines, from data ingestion and training through to deployment and monitoringDeploying production-grade AI systems for large enterprise customersDesigning robust automation using CI/CD, GitOps, Docker, and KubernetesMonitoring model performance, drift, latency, and cost, and improving reliability over timeWorking with distributed training and serving setups, including model and data parallelismCollaborating closely with ML researchers, product teams, and DevOps engineers to optimise performance and infrastructure usageManaging and scaling cloud infrastructure (primarily Azure, with some AWS exposure)Tech you’ll be exposed toPython for ML and backend systemsCloud platforms: Azure (AKS, ML services, CycleCloud, Managed Lustre), plus AWSContainerisation and orchestration: Docker, KubernetesAutomation and DevOps: CI/CD pipelines, GitOpsDistributed ML tooling: Ray, DeepSpeed, FSDP, Megatron-LMLarge language models such as GPT-style models, Llama, Mistral, and similarWhat they’re looking for3 years’ experience in MLOps, ML engineering, or LLM-focused rolesStrong experience running ML workloads in public cloud environmentsHands-on background with production ML pipelines and monitoringSolid understanding of distributed training, parallelism, and optimisationComfortable working across infrastructure, ML, and engineering teamsStrong English communication skills; Spanish is a plus but not requiredNice to haveExperience with mixture-of-experts modelsLLM observability, inference optimisation, or API managementExposure to hybrid or multi-cloud environmentsReal-time or streaming ML systemsWhy this role stands outWork on AI systems that are already in production with global customersTackle real infrastructure and scaling challenges, not toy problemsCompetitive salary plus meaningful bonusesHybrid setup in Spain with relocation supportJoin a well-funded, high-growth deep-tech environment with long-term impact

Senior / Principal Research Scientist – Core AI Algorithms (Autonomous Systems)Location: Germany (Remote-first within Germany, on-site in Frankfurt every 2–4 weeks)About the RoleWe are partnering with a global automotive OEM building a core AI research and algorithm team responsible for the foundational intelligence behind next-generation automated driving systems.This role is research-driven and sits upstream of product teams. The focus is on inventing, validating, and transitioning new perception and world-modeling algorithms from research into production-ready systems. The team operates similarly to a big-tech research lab, but with a clear path to real-world deployment.Research Focus AreasDepending on background and interest, you may work on topics such as:3D scene understanding and world modelingOccupancy, motion forecasting, and dynamic scene reconstructionMulti-sensor perception (camera, LiDAR, radar)Representation learning for autonomous systems (BEV, implicit / generative 3D, Gaussian models, foundation models)Robustness, generalization, and long-tail perceptionLearning under weak, sparse, or noisy supervisionBridging offline training with real-world deployment constraintsKey ResponsibilitiesConduct original research in perception and autonomous systems with clear technical ownershipDesign and prototype novel algorithms and learning frameworksPublish at or contribute toward top-tier conferences and journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICRA, IROS)Translate research ideas into scalable, production-oriented implementationsCollaborate with applied ML, systems, and hardware teams to ensure feasibilityShape the long-term technical roadmap of the core AI organizationMentor junior researchers and engineers where appropriateRequired BackgroundPhD (or equivalent research experience) in Computer Vision, Machine Learning, Robotics, or a related fieldStrong publication record at top-tier conferences or journalsExperience conducting research within an industrial or applied settingExcellent understanding of modern deep learning methods and 3D perceptionStrong programming skills in Python and/or C Ability to work across the full spectrum from theory to implementationStrongly PreferredResearch experience in autonomous driving, robotics, or embodied AIWork on 3D perception, tracking, SLAM, or world modelsExperience at big-tech research labs, industrial AI labs, or advanced OEM R&DFamiliarity with real-world constraints such as runtime, memory, and system integrationPrior collaboration with product or engineering teamsWhat’s on OfferA research-first role with real influence on production systemsThe opportunity to define core algorithms, not just incremental improvementsA team culture that values publications, patents, and long-term thinkingRemote-first working model within Germany, with regular in-person collaboration in FrankfurtCompetitive compensation aligned with senior / principal research profilesWho This Role Is ForResearchers who want their work to ship into real vehiclesIndustry researchers seeking greater technical ownershipPhD-level candidates who enjoy both publishing and buildingProfiles combining academic depth with practical engineering maturityLooking forward to seeing your profile!

Applied AI Research Engineer – Intelligent Robotics Location: Remote, EU (within CET ±3 hours) Employment Type: Full-time Department: Engineering About the Opportunity We’re partnering with an innovative robotics company on a mission to redefine intelligent automation in manufacturing. This organisation is building next-generation robotic systems that combine cutting-edge AI with flexible hardware to create smarter, more adaptive automation solutions for real-world production environments. As an Applied AI Research Engineer, you’ll contribute directly to developing advanced AI systems for robotics — transforming the latest academic and industry research into deployable, real-world solutions. This is a hands-on research and development role at the intersection of AI, robotics, and embodied intelligence. What You’ll DoConduct R&D in areas such as:Foundational Models (LLMs, VLMs, VLAs): Apply multimodal and large language models to robotic decision-making.Reinforcement Learning: Design and implement control strategies for robotic manipulation and task execution.Sim2Real Transfer: Leverage synthetic data and simulation tools to enable robust model deployment in real environments.Collaborate with cross-functional engineering teams to bring research concepts to production-ready applications.Stay at the forefront of the latest advancements in AI and help shape how intelligent automation evolves in manufacturing.About YouStrong background in machine learning, deep learning, computer vision, or algorithmic development.Hands-on experience applying research to real-world use cases.Solid understanding of LLMs, VLMs, and reinforcement learning (on/off-policy, actor-critic, model-based).Proficiency in Python and experience with frameworks such as PyTorch, TensorFlow, or Hugging Face.Comfortable working in Linux environments with tools like Docker, Git, and Conda.Familiarity with cloud platforms (AWS, Azure, or GCP).Excellent analytical and problem-solving abilities, with a structured and creative mindset.Strong communicator who can clearly express complex concepts and research insights.Nice to HaveExperience with robotics systems (e.g. ROS/ROS2, Behaviour Trees)Exposure to agentic AI or multimodal AI researchWhy ApplyJoin a company pioneering AI-driven robotics with a mission to make automation accessible and efficient across industries.Work alongside an expert team at the forefront of intelligent systems development.Enjoy a flexible, remote-first culture with competitive compensation and opportunities for growth and innovation.

Join a company pioneering frontier foundation models in 3D, image, and video. Role: Research Engineer/ Scientist Location: London/ Munich (No Remote must be based in either city)Salary: Highly Competitive Salary & Benefits on offer D.O.E Redefine how industries from robotics and AR/VR to gaming and film generate and interact with digital content. You will design and run experiments, implement cutting-edge research, and scale models into production. ResponsibilitiesDesign and run ablations and experiments to improve performance.Evaluate and implement research papers on large-scale data.Train and fine-tune 3D and image/video foundation models.Develop demos, optimise test-time inference, and productionise models. QualificationsBachelor’s, Master’s, or PhD in CS/ML or related field.Proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX).Strong knowledge of generative models (diffusion, GANs, VAEs, transformers).Experience with large-scale model training and 3D representation learning (e.g., NeRF, Gaussian Splatting).

Standorte: Berlin, Gütersloh, Hamburg, Düsseldorf, München, Köln oder deutschlandweit hybrid Über uns Wir sind eine spezialisierte Beratungs- und Consultinggesellschaft mit starkem Fokus auf innovative Cloud- und KI-Lösungen. Unsere Mission ist es, Unternehmen auf ihrem Weg in die digitale Zukunft zu begleiten – von der Strategie bis zur erfolgreichen Umsetzung. Ihre Aufgaben In dieser Rolle übernehmen Sie die Verantwortung für die Konzeption, Umsetzung und Optimierung von Google Cloud Architekturen. Dabei arbeiten Sie eng mit internen Teams und Kunden zusammen und bringen sowohl Ihre technische Expertise als auch Ihre Beratungsfähigkeit ein.Architektur & Design: Entwicklung sicherer und skalierbarer Cloud-Infrastrukturen auf Basis von GCPInfrastructure-as-Code: Automatisierung mit Terraform, Schwerpunkt auf GKENetzwerke & Sicherheit: Design und Betreuung komplexer VPC-Netzwerke, Hybrid Connectivity (Interconnect, VPN), Security by DesignConsulting & Strategie: Technische Beratung von Stakeholdern und Bewertung neuer GCP-ServicesGenerative AI: Identifikation von Use Cases, Entwicklung und Umsetzung von Pilotprojekten (z. B. Vertex AI)Datenintegration: Zusammenarbeit mit Data-Teams in Bereichen wie BigQuery, Dataflow, Cloud StorageIhr ProfilAbgeschlossenes Studium der Informatik oder vergleichbare QualifikationMehrjährige Erfahrung als Cloud Architect mit Schwerpunkt Google Cloud Platform (GCP)Zertifizierung als Google Professional Cloud Architect von VorteilFundierte Kenntnisse in Compute, Storage, Kubernetes (GKE), Netzwerken (VPC, DNS, Load Balancing, Security) sowie TerraformVertrautheit mit GCP-Sicherheitstools und PrinzipienBegeisterung für Generative AI und erste Erfahrungen mit Vertex AI wünschenswertSehr gute Kommunikationsfähigkeiten in Deutsch (fließend) und Englisch – absolute Voraussetzung für die Zusammenarbeit mit Kunden und TeamsBeratungs- und lösungsorientiertes Mindset, eigenverantwortliches HandelnWir bietenAttraktives Gehaltspaket und ZusatzleistungenFlexible Arbeitszeiten & hybrides ArbeitenBreites Weiterbildungsangebot inkl. ZertifizierungenArbeit in einem dynamischen, internationalen Beratungsumfeld

Standorte: Berlin, Gütersloh, Hamburg, Düsseldorf, München, Köln oder deutschlandweit hybrid Über uns Wir sind eine spezialisierte Beratungs- und Consultinggesellschaft mit starkem Fokus auf innovative Cloud- und KI-Lösungen. Unsere Mission ist es, Unternehmen auf ihrem Weg in die digitale Zukunft zu begleiten – von der Strategie bis zur erfolgreichen Umsetzung. Ihre Aufgaben In dieser Rolle übernehmen Sie die Verantwortung für die Konzeption, Umsetzung und Optimierung von Google Cloud Architekturen. Dabei arbeiten Sie eng mit internen Teams und Kunden zusammen und bringen sowohl Ihre technische Expertise als auch Ihre Beratungsfähigkeit ein.Architektur & Design: Entwicklung sicherer und skalierbarer Cloud-Infrastrukturen auf Basis von GCPInfrastructure-as-Code: Automatisierung mit Terraform, Schwerpunkt auf GKENetzwerke & Sicherheit: Design und Betreuung komplexer VPC-Netzwerke, Hybrid Connectivity (Interconnect, VPN), Security by DesignConsulting & Strategie: Technische Beratung von Stakeholdern und Bewertung neuer GCP-ServicesGenerative AI: Identifikation von Use Cases, Entwicklung und Umsetzung von Pilotprojekten (z. B. Vertex AI)Datenintegration: Zusammenarbeit mit Data-Teams in Bereichen wie BigQuery, Dataflow, Cloud StorageIhr ProfilAbgeschlossenes Studium der Informatik oder vergleichbare QualifikationMehrjährige Erfahrung als Cloud Architect mit Schwerpunkt Google Cloud Platform (GCP)Zertifizierung als Google Professional Cloud Architect von VorteilFundierte Kenntnisse in Compute, Storage, Kubernetes (GKE), Netzwerken (VPC, DNS, Load Balancing, Security) sowie TerraformVertrautheit mit GCP-Sicherheitstools und PrinzipienBegeisterung für Generative AI und erste Erfahrungen mit Vertex AI wünschenswertSehr gute Kommunikationsfähigkeiten in Deutsch (fließend) und Englisch – absolute Voraussetzung für die Zusammenarbeit mit Kunden und TeamsBeratungs- und lösungsorientiertes Mindset, eigenverantwortliches HandelnWir bietenAttraktives Gehaltspaket und ZusatzleistungenFlexible Arbeitszeiten & hybrides ArbeitenBreites Weiterbildungsangebot inkl. ZertifizierungenArbeit in einem dynamischen, internationalen Beratungsumfeld

Are you ready to make online shopping smarter, faster, and more intuitive? We’re looking for a motivated Search Engineer to level up the search experience on our high-traffic eCommerce platform. What you’ll do:Architect and innovate with Elasticsearch, machine learning, and next-gen search techOptimize and personalize search relevance, ranking, and discoveryLead and mentor a talented team of engineersMeasure success with real impact using metrics like NDCG, F1, and CTRWhat you’ll bring:Strong skills in Java, Spring Boot, and PythonHands-on experience with Elasticsearch (or similar) and ML tools such as XGBoost, transformers, and LLMsExperience scaling high-traffic eCommerce or SaaS search systemsA can-do mindset and passion for solving complex problemsWhat you’ll love:An award-winning, people-first workplace cultureFlexitime and hybrid working options for better work-life balanceFreedom to choose your tech setupHealth and fitness perks, fresh local food, and even an in-house tennis courtIf you’re passionate about building world-class search experiences and want to join a team that values innovation and balance, we’d love to hear from you.