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 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.

Your mission

1. 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

2. 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

3. Collaboration & Leadership

• Work closely with product, engineering, and business teams to deliver impactful AI solutions
• Present findings, lead cross-functional AI initiatives