Position Details
About this role
This role involves developing and deploying machine learning solutions in cloud environments, supporting healthcare data applications, and leveraging GenAI technologies.
Key Responsibilities
- Develop ML models
- Deploy models to cloud environments
- Create ETL pipelines
- Monitor model performance
- Lead technical initiatives
Technical Overview
The technical scope includes ML model development, cloud deployment on AWS and OpenShift, ETL pipelines using Databricks and PySpark, and monitoring with tools like CloudWatch and Splunk.
Ideal Candidate
The ideal candidate is a senior machine learning engineer with at least 2 years of experience deploying ML models in cloud environments like AWS and OpenShift. They possess strong skills in AI, ETL pipelines, and monitoring tools, with a focus on healthcare applications.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with AWS or OpenShift, No experience with ML model deployment, No background in healthcare domain, Bachelor's degree only
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