Cloudphysician Critical Care Engineer
1 month ago
Cloudphysician is revolutionizing the delivery of critical care through innovative patient-centric solutions. Our team of experts is dedicated to increasing access to high-quality care globally, leveraging advanced technology and in-house designed platforms. We are committed to transforming the critical care landscape, impacting thousands of patients across India and expanding our reach worldwide.
Our Care Center in Bangalore is staffed 24/7 by a highly qualified and trained critical care team, including super-specialist doctors, nurses, dieticians, and pharmacologists. They utilize our proprietary platform, RADAR, to connect with hospital ICUs and oversee the care of critically ill patients across multiple regions. RADAR incorporates automation, computer vision, real-time video, and data analytics to facilitate expert care providers in connecting with and providing care to patients.
We have successfully cared for over 100,000+ intensive care patients across 23 states in India, saving numerous lives. Our team is passionate about delivering exceptional care and is committed to making a meaningful impact in the lives of our patients.
Key Responsibilities
- Develop and implement models and algorithms for exploratory, prediction, optimization, and root cause analysis of real-time datasets for generic and specific requirements.
- Analyze data from company databases to drive optimization and inform business decisions.
- Design and develop Big Data applications using Hadoop technologies such as Spark (Scala or PySpark).
- Create data visualizations and dashboards for real-time monitoring of performance indicators.
Preferred Qualifications
- 2-4 years of experience in a related field.
- Proficiency in one programming language (Python or C++).
- Experience with Python packages such as psycopg, sqlalchemy.
- Experience with Python ML packages - sci-kit-learn, scipy.
- Experience with Apache Spark frameworks such as PySpark.
- Ability to analyze business requirements and translate them into system specifications.
- Strong troubleshooting and performance tuning skills.
- Data visualization skills.
- Proficiency in SQL, including subqueries, joins, window functions, and common table expressions.
- Experience with server functions, stored procedures, and SQL transactions.
- Good to have: experience with ETL tools (e.g., AWS Glue), understanding of Docker, Kubernetes, and GIT, familiarity with JavaScript.
How to Apply
If you are interested in this opportunity, please send your resume along with two professional references.
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