AI/ML Engineer (all)

Who we are looking for We seek an experienced AI/ML Engineer to drive innovation in artificial intelligence and machine learning, combining research with practical implementation. You'll design and deploy ML models, analyze data, and collaborate with cross-functional teams to deliver impactful solutions. Your mission Machine Learning Model Development Analyze, visualize, and ensure the quality of healthcare data to extract actionable insights Design, prototype, and deploy ML models and algorithms in collaboration with data scientists and engineers ML Infrastructure & Operations Ensure robust data workflows and support MLOps best practices Develop and maintain scalable ML pipelines and microservices, including automation of deployment, monitoring, and retraining Collaboration & Leadership Work closely with product, engineering, and business teams to deliver impactful AI solutions Present findings, lead cross-functional AI initiatives Your background Your Education & Experience PhD in Computer Science, Machine Learning/AI, Statistics, or related fields, OR Master’s with 5+ years relevant experience Strong foundation in mathematics, statistics, and algorithms Technical Skills Programming: Python, JavaScript/TypeScript ML/AI: Vertex AI, LangGraph, TensorFlow, PyTorch, Scikit-learn, Keras Cloud: AWS, GCP Data: Snowflake, Apache Superset, MongoDB, Pandas, NumPy, Jupyter MLOps: Docker, Kubernetes, CI/CD, MLflow, Weights & Biases Domain Expertise ML algorithms (supervised, unsupervised, reinforcement learning) Deep learning (CNNs, RNNs, Transformers) Statistical methods, experimental design Big data frameworks (Spark, Dask) Soft Skills Analytical and problem-solving abilities Excellent English communication Independent, organized, collaborative Preferred Qualifications Distributed/parallel computing Software engineering best practices A/B testing, experimentation frameworks Edge computing, model optimization Please note: you must have the legal right to live and work in the European Union (EU). Applications from candidates residing outside the EU cannot be considered. Why us? Top Tech company in Digital Health: Work in a fast-growing, innovative environment where your impact is visible. True impact in healthcare: Contribute to a unique platform with the potential to improve health for millions. International team: Join colleagues from 14+ nationalities, united by a shared vision. 100% remote with best IT equipment: Enjoy full remote work, regular team events, and top-notch equipment. Hiring Process Initial Screening: Technical phone/video introductory and experience call. Leadership Interview: Discussion focused on leadership principles, values, and cultural fit. Technical Deep Dive: In-depth discussion of applied ML/AI topics, including live coding and system design.