Apache Kafka, Big Data Technology, Deep Learning, Google BigQuery, Java Programming, Machine learning techniques, NoSQL, Python Programming, RDBMS, Snowflake, SQL
Position Summary:
As a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.
Key responsibilities:
Required Qualifications
EEO/Minorities/Females/Vets/Disabilities
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Base Salary Range Disclaimer: The base salary range represents the low and high end of the EXL base salary range for this position. Actual salaries will vary depending on factors including but not limited to: location and experience. The base salary range listed is just one component of EXL's total compensation package for employees. Other rewards may include bonuses, as well as a Paid Time Off policy, and many region specific benefits.
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EXL fuses digital technology and deep industry expertise, human expertise and artificial intelligence to deliver Digital Intelligence that helps your business grow faster and more profitably. See What Digital Intelligence Can Do. EXL Service is a leading operations management and analytics company that helps our clients build and grow sustainable businesses. By orchestrating our domain expertise, data, analytics and digital technology.
Pittsburgh, PA, USA
2-4 year