{"id":3609810,"url":"https://alion.io/job/artidis-computer-vision-mlops-engineer","title":"Computer Vision & MLOps Engineer","company":{"id":695088,"name":"ARTIDIS","domain":"artidis.com","url":"https://alion.io/company/artidis","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Basel, Switzerland"],"countries":["CH"],"hiring_countries":["CH"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Argo Workflows","optional":false},{"name":"ArgoCD","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"Helm","optional":false},{"name":"Image Segmentation","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"MLFlow","optional":false},{"name":"NumPy","optional":false},{"name":"OpenCV","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-11-02T10:08:12Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-02T17:42:18Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About ARTIDIS\nArtidis® AG is a pioneering clinical stage health technology company that aims to set the gold standard in tissue analysis and therapy optimization. By combining its nanotechnology platform for rapid tissue analysis with a holistic data solution, Artidis® accelerates drug discovery, tissue engineering, and personalized treatment. Artidis® focuses its research and development efforts on solid tumors to enhance responses to chemotherapy, immunotherapy, and cell therapies, driving precision in cancer care.\nJob Purpose\nThis role combines deep technical expertise in computer vision with strong MLOps capabilities to build and maintain production-grade AI systems.\nDuties\nDevelop and deploy computer vision models for:Medical image classification\nAdvanced segmentation\nComplex image analysis\n\nImplement solutions using deep learning and classical techniques \nOptimize models for medical device and cloud deployment \nDesign and implement end-to-end ML pipelines \nManage model lifecycle from experimentation to production \nBuild, automate and maintain scalable MLOps infrastructure \nImplement robust monitoring and observability solutions \nQualifications\nTechnical Skills - ML & Computer Vision:\nProficiency in Python data stack (TensorFlow, PyTorch, numpy, pandas, scikit-learn). \nExperience with OpenCV and other relevant computer vision libraries. \nStrong background in computer vision solutions for medical images. \nExpertise in developing and implementing computer vision solutions mainly image segmentation and object recognition. \nTechnical Skills - DevOps & MLOps:\nExperience with Kubernetes operators and custom resources. \nProficiency in Docker containerization and multi-stage builds. \nAdvanced Git knowledge (branching strategies, workflows). \nExperience Building and maintaining end-to-end ML pipelines. \nHands-on experience with Argo CD and Argo Workflows for ML pipelines. \nExperience with infrastructure automation tools like: Helm charts for Kubernetes deployments. \nExperience setting up and maintaining CI/CD pipelines.\nHands-on experience with model lifecycle management.\nHands-on experience with MLOps platforms: MLflow, Kubeflow...\nProfessional Skills\nHigh level of expression and comprehension of the English language.\nExperience in digital health and driving innovation in healthcare is highly desirable.\nCommitment to writing documented, clear, efficient, and maintainable code.\nAbility to design and implement requirements with long-term objectives, scalability, and maintainability in mind.\nProactive way of communicating and working.\nAbility to work independently and take ownership without extensive supervision.\nStrong team player.\nWorking Conditions\nThe environment is a typical start-up with an intrinsically motivated international team. Our company is an excellent place for rapid advancement and offers a promising opportunity to learn and share know-how in a very agile environment. The position requires the employee to go the extra mile when needed. We are looking for a team player who appreciates direct communication. The effort is rewarded with challenging tasks, the possibility to take responsibility, a highly driven team, and work serving a significant purpose. 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