{"id":2470151,"url":"https://alion.io/job/stelldirvor-gmbh-ml-engineer-computer-vision-ml-ops","title":"ML Engineer (Computer Vision & ML Ops)","company":{"id":4410089,"name":"StellDirVor GmbH","domain":"stelldirvor-xr.de","url":"https://alion.io/company/stelldirvor-gmbh","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Munich, Germany"],"countries":["DE"],"hiring_countries":["DE"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":71000,"max_usd":165000,"period":"year","method":"role_country_seniority_unknown","sample_n":60},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Diffusion Models","optional":false},{"name":"Explainable AI","optional":false},{"name":"Federated Learning","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GDPR","optional":false},{"name":"Image Segmentation","optional":false},{"name":"OpenCV","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"Transfer Learning","optional":false},{"name":"Docker","optional":true},{"name":"LiteRT","optional":true},{"name":"MLFlow","optional":true},{"name":"Multimodal AI","optional":true},{"name":"ONNX","optional":true},{"name":"Quantization","optional":true},{"name":"SHAP","optional":true},{"name":"Speech Recognition","optional":true},{"name":"Weights & Biases","optional":true},{"name":"Whisper","optional":true}],"status":"live","first_seen_at":"2026-10-13T14:31:19Z","employer_posted_date":null,"last_verified_at":"2026-10-13T14:31:19Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"StellDirVor is an independent consulting, trade and technology company specializing in immersive technologies for healthcare. We support organizations in implementing digital innovations — Virtual, Augmented and Mixed Reality as well as AI — particularly for learning, training and real-time assistance in clinical and care environments. By combining technology and healthcare, we help optimize processes, improve knowledge transfer and enhance quality of care.\nSupported by a Germany (ZIM) and Taiwanese (GIPIP) partnership grant, we are currently developing ARAIAS — an AR- and AI-based hands-free training and assistance system for chronic wound care. Using AR smart glasses, the system enables 3D capture, AI-supported analysis, and standardized remote expertise and documentation directly at the point of care.\nAs our ML Engineer (Computer Vision & ML Ops), you will build the AI capabilities at the core of ARAIAS: evaluating and fine-tuning computer vision models on smart glasses data, running the ML operations behind them, and applying generative AI to create synthetic medical images for education. We're at an early stage — moving from concept to working prototype — so the near-term focus is on validating models and building toward a proof of concept we can test in real education and clinical settings.\nAs part of a small team, you will own the full data lifecycle end to end — from sourcing, consent and annotation to preparation — alongside model development and deployment.\nWe welcome candidates at different experience levels. What matters most is a solid ML foundation and genuine awareness of the medical imaging domain.\nTasks\nSelect and benchmark pre-trained models and/or validated architectures for medical image analysis and adapt them to domain-specific data, ensuring robust performance under real-world conditions\n\nIdentify and adapt suitable generative AI models to create realistic synthetic medical images for education and training\n\nEvaluate and fine-tune small language models (SLMs) for voice interaction — speech-to-text, intent understanding and text-to-speech — optimized for low-latency or on-device use with smart glasses\n\nResearch and assess state-of-the-art ML models and emerging trends, including Explainable AI (XAI), cybersecurity for ML, and deployment and distribution modes (edge vs. cloud, federated learning, model compression)\n\nPlan and execute the ML operations pipeline — data gathering, annotation, preparation, training, testing and deployment\n\nPropose a data collection strategy — research suitable public and clinical data sources, recommend patient consent and other administrative requirements for ML training (e.g., data protection agreements, ethics approval), and define collection and annotation protocols with clinical experts, including labeling guidelines and quality checks\n\nIdentify and validate factors that affect model performance — image conditions, dataset bias, patient diversity, data privacy and regulatory requirements\n\nDefine test strategies and metrics, and validate model outputs against clinician assessments\n\nPerform build vs. buy analyses for models, tools and services, including cost comparison\n\nEstimate compute and training costs and propose budgets for model training and deployment\n\nChoose and set up training environments flexibly — local hardware or cloud — based on cost, data privacy and performance\n\nMake pragmatic technical decisions appropriate for the current prototyping stage and document results clearly\n\nMaintain clear, traceable documentation of data sources, models, experiments and design decisions to support audits and quality reviews\n\nEvaluate and integrate additional sensors where feasible (e.g., depth, LiDAR, thermal, multispectral) and fuse them with RGB input\n\nRequirements\nMust-HaveDegree in Computer Science, Data Science, Biomedical Engineering, Mathematics or a related field — or equivalent practical background\n\nStrong Python skills and hands-on use of PyTorch, OpenCV or TensorFlow\n\nSolid understanding of computer vision — classification, object detection and image segmentation, 3D Reconstruction and Multi-View Geometry\n\nHands-on knowledge of transfer learning — adapting pre-trained models and fine-tuning them on custom datasets\n\nWorking knowledge of the full ML lifecycle — data preparation, training, evaluation and deployment\n\nBasic knowledge of generative models (diffusion models or GANs) and common open-source libraries\n\nComfortable training models both locally (GPU workstation) and on cloud platforms\n\nAble to estimate ML compute costs and compare build vs. buy options to support budget decisions\n\nAwareness of medical imaging challenges — limited data, label variability between clinicians and class imbalance\n\nAwareness of healthcare data privacy and ethics (e.g., GDPR, patient consent, anonymization) and why explainability and bias matter in clinical AI\n\nAble to read research papers and apply them pragmatically\n\nSelf-directed and pragmatic — able to take initiative and own problems end-to-end in a lean team\n\nFluent in English — German is a bonus\n\nStrong PlusProjects or coursework in medical imaging or clinical AI\n\nFamiliarity with semi-supervised learning — leveraging limited or partially labeled data\n\nExperience with 3D data processing — depth maps, point clouds or mesh reconstruction\n\nExposure to multi-modal learning — combining RGB and depth or LiDAR data\n\nEdge AI or wearable deployment (e.g., TensorFlow Lite, ONNX, model quantization)\n\nKnowledge of explainability methods (e.g., Grad-CAM, SHAP) or adversarial robustness\n\nFamiliarity with MLOps tools (e.g., MLflow, Weights & Biases, DVC, Docker)\n\nAwareness of medical device regulation for AI software (e.g., EU MDR, IEC 62304)\n\nFamiliarity with small language models (SLMs) and speech pipelines (e.g., Whisper, on-device speech recognition and text-to-speech)\n\nBenefits\nMeaningful work — You help shape how technology redefines education and training in healthcare, with real impact on clinical outcomes\n\nOwnership and creative freedom — You work autonomously, contribute your ideas directly, and have a genuine say in how the system is built\n\nA learning culture — We support personal and professional growth through knowledge sharing, access to innovative tools and methods, and a dedicated learning budget\n\nFlexible working — Remote-friendly setup with the option to work from our Munich office\n\nFlat hierarchies and team spirit — A small, open, and trust-based team where communication is direct and everyone's voice matters\n\nInternational collaboration — Work alongside a Taiwan-based partner covering technology, hardware and research\n\nWe are only able to respond to candidates selected for further consideration. If you have not heard from us within four weeks of applying, please consider your application unsuccessful at this time. \nFind more English Speaking Jobs in Germany on Arbeitnow","description_format":"text","description_chars":6904,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule"],"hiring_locations":[{"name":"Germany","iso":"DE","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Robotic Software & Control Systems","Health Care","Hospitals & Health Systems"],"lifecycle":[{"event":"open","at":"2026-10-13T19:34:00Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":27,"reasons":["seen:0","win:early"],"computed_at":"2026-10-14T06:34:16Z"},"pay":null,"html_url":"https://alion.io/job/stelldirvor-gmbh-ml-engineer-computer-vision-ml-ops","json_url":"https://alion.io/job/stelldirvor-gmbh-ml-engineer-computer-vision-ml-ops.json","meta":{"generated_at":"2026-10-14T18:37:08Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"assistant_verified","counted_by":"address","units_charged":1,"used_today":3642,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4410089},"rest":"https://alion.io/mcp/rest/get_company?id=4410089"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fstelldirvor-gmbh-ml-engineer-computer-vision-ml-ops"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fstelldirvor-gmbh-ml-engineer-computer-vision-ml-ops"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fstelldirvor-gmbh-ml-engineer-computer-vision-ml-ops"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/stelldirvor-gmbh-ml-engineer-computer-vision-ml-ops\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fstelldirvor-gmbh-ml-engineer-computer-vision-ml-ops"}]}