Key skills
ApacheAWSAzureCloudJavaNumpyPandasPythonPyTorchScikit-LearnSparkSQLAIMLLLMscikit-learnNumPyLightGBMData EngineeringData LakeDatabricksApache SparkGoogle CloudSaaSCommunicationCollaboration
About this role
Role Overview
- Deliver multi-geography projects for healthcare organizations
- Collaborate with Cloud, Software, and Data Engineering teams
- Design, build, and evaluate healthcare solutions
- Develop high-level solution architectures
- Ensure responsible AI practices
- Lead technical discussions and mentor senior resources
- Contribute to a collaborative team culture
Requirements
- Ph.D grad with 1+ years related industry experience OR Masters grad with 4+ years industry experience
- Industry experience through multiple major product releases in a commercial SaaS environment
- Hands-on experience with healthcare data (e.g. EHR, ADT, clinical notes)
- Proficiency in Python
- Proficiency in Java or other languages is helpful
- Proficiency with SQL and data engineering for AI/ML applications
- Experience with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks)
- Solid understanding of transformer models and LLM-based approaches
- Experience with modern ML packages such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM
- Experience using public cloud infrastructure (Azure, AWS, or Google Cloud)
- Strong communication and collaboration skills
Tech Stack
- Apache
- AWS
- Azure
- Cloud
- Java
- Numpy
- Pandas
- Python
- PyTorch
- Scikit-Learn
- Spark
- SQL
Benefits
- Work where innovation happens
- Upskill and discover your potential
- Impact at one of the fastest-growing AI-first digital engineering companies
- Collaborative team culture
- Opportunities to learn and grow