Key skills
ApacheAWSCloudDockerGoogle Cloud PlatformJavaScriptKerasKubernetesMicroservicesMongoDBNumpyPandasPythonPyTorchScikit-LearnSparkTensorflowTypeScriptAIArtificial IntelligenceMachine LearningMLDeep LearningTensorFlowscikit-learnNumPyMLOpsJupyterMLflowLangGraphSnowflakeGCPGoogle CloudVertex AICI/CD
About this role
Role Overview
- Drive innovation in artificial intelligence and machine learning
- Analyze, visualize, and ensure the quality of healthcare data
- Design, prototype, and deploy ML models and algorithms
- Ensure robust data workflows and support MLOps best practices
- Develop and maintain scalable ML pipelines and microservices
- Collaborate with product, engineering, and business teams
- Present findings and lead cross-functional AI initiatives
Requirements
- 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
- Domain Expertise: ML algorithms (supervised, unsupervised, reinforcement learning), Deep learning (CNNs, RNNs, Transformers), Statistical methods, experimental design, Big data frameworks (Spark, Dask)
Tech Stack
- Apache
- AWS
- Cloud
- Docker
- Google Cloud Platform
- JavaScript
- Keras
- Kubernetes
- Microservices
- MongoDB
- Numpy
- Pandas
- Python
- PyTorch
- Scikit-Learn
- Spark
- Tensorflow
- TypeScript
Benefits
- 100% remote with best IT equipment
- Regular team events