
Data Engineer/Machine Learning
The senior engineer is responsible for the delivery of a business need end-to-end starting from understanding the requirements to deploying the software into production. This role requires you to be fluent in some of the critical technologies with proficiency in others and have a hunger to learn on the job and add value to the business. Critical attributes of being an engineer, among others, is Ownership & Accountability. In addition to Delivery, the engineer should have an automation first and continuous improvement mindset. He/She should drive the adoption of CI/CD tools and support the improvement of the tools sets/processes.
4+ years of solution architecting in cloud technology (eg. AWS, Azure, google cloud)
4+ years of working experience with operationalizing Machine learning models
4+ years of performing statistical analysis using SAS/R/Python
4+ Years of working experience with Machine Learning frameworks (Datarobot, Scikit-learn, Scipy, Spark ML)
Javascript
Python
Teradata
Ruby
R
Perl
Hadoop
Cassandra
Redshift
Time Management Skills
Driven and self-motivated
Prioritizing skills
Adaptability
Problem-solving and resourcefulness
Detail Oriented and Organized
Verbal and Written Communication
Multi tasker
According to JobzMall, the average salary range for a Data Engineer/Machine Learning in 11200 Lakeline Blvd, Austin, TX 78717, USA is between $77,000 and $129,000 per year. This range is based on the salaries reported by job postings in the area and the overall demand for the position.
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Cigna Corp. provides medical, dental, disability, life and accident insurance and related products and services to businesses, governmental and non-governmental organizations and individuals. It operates through following segments: Global Health Care; Global Supplemental Benefits; Group Disability and Life; Other Operations; and Corporate.

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