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.
Apply To This Job
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.
Apply To This Job