Machine Learning
Title: Machine Learning Engineer
Duration: Full Time
Location: Seattle, WA
Job Description:
Strong, hands on programming in python, Scala, java.
Hands on experience in big data and distributed systems ( Spark, Cassandra, Kafka )
Experience in productionizing training and inference pipelines
Good knowledge of data science models - including regression, classification, clustering, and time-series analyses
Strong sense of data , curiosity and data analytic skills ( SQL)
Experience with Docker, Kubernetes, or cloud platform deployment is a plus
Ability to operate comfortably in a fast-paced, highly cross-functional, continually evolving environment.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Duration: Full Time
Location: Seattle, WA
Job Description:
Strong, hands on programming in python, Scala, java.
Hands on experience in big data and distributed systems ( Spark, Cassandra, Kafka )
Experience in productionizing training and inference pipelines
Good knowledge of data science models - including regression, classification, clustering, and time-series analyses
Strong sense of data , curiosity and data analytic skills ( SQL)
Experience with Docker, Kubernetes, or cloud platform deployment is a plus
Ability to operate comfortably in a fast-paced, highly cross-functional, continually evolving environment.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.