AI/ML Engineer (all)

who we are looking forWe 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 missionMachine Learning Model Development Analyze, visualize, and ensure the quality of healthcare data to extract actionable insightsDesign, prototype, and deploy ML models and algorithms in collaboration with data scientists and engineersML Infrastructure & Operations Ensure robust data workflows and support MLOps best practicesDevelop and maintain scalable ML pipelines and microservices, including automation of deployment, monitoring, and retrainingCollaboration & Leadership Work closely with product, engineering, and business teams to deliver impactful AI solutionsPresent findings, lead cross-functional AI initiativesyour backgroundYour Education & Experience PhD in Computer Science, Machine Learning/AI, Statistics, or related fields, OR Master’s with 5+ years relevant experienceStrong foundation in mathematics, statistics, and algorithmsTechnical Skills Programming: Python, JavaScript/TypeScriptML/AI: Vertex AI, LangGraph, TensorFlow, PyTorch, Scikit-learn, KerasCloud: AWS, GCPData: Snowflake, Apache Superset, MongoDB, Pandas, NumPy, JupyterMLOps: Docker, Kubernetes, CI/CD, MLflow, Weights & BiasesDomain Expertise ML algorithms (supervised, unsupervised, reinforcement learning)Deep learning (CNNs, RNNs, Transformers)Statistical methods, experimental designBig data frameworks (Spark, Dask)Soft Skills Analytical and problem-solving abilitiesExcellent English communication Independent, organized, collaborativePreferred Qualifications Distributed/parallel computingSoftware engineering best practicesA/B testing, experimentation frameworksEdge computing, model optimizationPlease 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 processInitial 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.Originally posted on Himalayas