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Tech Stack
Tools & technologiesBigQueryCloudGoogle Cloud PlatformNumpyPandasPythonPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- Design, develop, and deploy machine learning models tailored for healthcare use cases
- Leverage GCP services to build and maintain end-to-end AI pipelines
- Work with sensitive healthcare data ensuring compliance with HIPAA
- Collaborate with cross-functional teams to translate clinical requirements
- Act as a technical bridge for explaining AI concepts to non-technical stakeholders
Requirements
What you’ll need- 0–5 Years experience
- Mastery of Python and common libraries (Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch)
- Practical experience with GCP services (Vertex AI, Cloud Functions, BigQuery)
- Solid understanding of cloud infrastructure
- Familiarity with LLMs (Gemini, GPT) and orchestration frameworks
- Understanding of the US healthcare landscape
Benefits
Comp & perks- Opportunity to work on high-impact projects that directly improve patient outcomes.
- Hands-on experience with the latest Google Cloud AI research and tools.
- A collaborative environment in the heart of Noida’s tech hub.
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
PythonPandasNumPyScikit-learnTensorFlowPyTorchGCPVertex AICloud FunctionsBigQuery
Soft Skills
collaborationcommunicationtechnical explanation
