Machine Learning Engineer

aspires to be the global virtual hospital. We are reimagining the delivery of critical care through patient-centric solutions. We use our advanced technology, designed and developed in-house, to increase access to care, all across the globe. Cloudphysician has been radically transforming delivery of critical care by impacting thousands of patients across India and enabling them to receive high quality care irrespective of their location and is moving towards mainstreaming this model globally. Our Care Center, based in Bangalore, is staffed 24/7 by a highly qualified and trained critical care team that includes super-specialist doctors, nurses, dieticians, and pharmacologists. The clinical team uses our proprietary platform, RADAR, to connect to hospital ICUs to oversee and manage the care of critically ill patients across multiple regions. RADAR, built by our team of technology experts, incorporates automation, computer vision, real-time video, and data analytics to help expert care providers connect to and provide care to patients. We have cared for more than 100,000+ intensive care patients across 23 states in India and saved numerous lives. JOB DESCRIPTION You will apply your leadership, strategic and analytical skills to major company challenges and will implement solutions that impact Healthcare. And you will do it all by collaborating with a team of colleagues across sales, operations, product, data science, medical in an environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation.

• Implementing models and algorithms for exploratory, prediction, optimization, and root cause analysis of real-time datasets for generic and specific requirements.
• Mine and analyze data from company databases to drive optimization
• Hands-on experience in developing Big Data applications using Hadoop technologies such as Spark (Scala or PySpark)
• Data visualization, creating dashboards for real time monitoring of several performance indicators.

• Experience: 2-4 Years
• Experience & good proficiency with at one programming language (Python or C++)
• Experience in Python packages such as psycopg, sqlalchemy
• Experience in Python ML packages - sci-kit-learn, scipy
• Experience in any Apache spark framework such as pyspark
• Ability to analyze business requirement user stories and translate them into system requirement specification
• Strong troubleshooting and performance tuning skills.
• Data visualization skills
• Proficiency in SQL
• Sub queries, joins, window functions, common table expressions to create summary statistics.
• Writing server functions, stored procedures.
• SQL transactions and error handling.
• Good to have: Experience in ETL tools (Eg: AWS Glue),Understanding of Docker, Kubernetes and GIT, Familiarity with JavaScript