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Tech Stack
Tools & technologiesApacheAWSAzureCloudJavaNumpyPandasPythonPyTorchScikit-LearnSparkSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Benefits
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonJavaSQLdata engineeringAI/ML applicationsbig data frameworksAzure Data LakeApache SparkDatabrickstransformer models
Soft Skills
communicationcollaborationleadershipmentoring
Certifications
Ph.DMasters
