Please mention DailyRemote when applying
AI Summary
The role involves designing and deploying Machine Learning models, analyzing healthcare data for actionable insights, and ensuring robust data workflows by supporting MLOps best practices. Responsibilities also include developing scalable ML pipelines and collaborating with product and engineering teams to deliver impactful AI solutions.
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
- Ensure robust data workflows and support MLOps best practices
- Develop and maintain scalable ML pipelines and microservices, including automation of deployment, monitoring, and retraining
- 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
- 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
- ML algorithms (supervised, unsupervised, reinforcement learning)
- Deep learning (CNNs, RNNs, Transformers)
- Statistical methods, experimental design
- Big data frameworks (Spark, Dask)
- Analytical and problem-solving abilities
- Excellent English communication
- Independent, organized, collaborative
- Distributed/parallel computing
- Software engineering best practices
- A/B testing, experimentation frameworks
- Edge computing, model optimization
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.
Automatically Apply to the Best Remote Jobs
Stop the endless job search. Our AI finds and applies to the best jobs for you.
