Job Overview
This is full time employee role. As of now work can be done offsite. Phd preferred. This is not pure data scientist role, resource must be able to work on machine learning models and automation using Docker and Kubernetes 5+ years experience developing and deploying machine learning systems into production Strong experience working with a variety of relational SQL and NoSQL databases Strong experience working with big data tools Hadoop, Spark, Kafka, etc. Experience with at least one cloud provider solution (AWS, GCP, Azure) Strong experience with object-orientedobject function scripting languages Python, Java, C++, Scala, etc. Ability to work in a Linux environment Industry experience building and productionizing innovative end-to-end Machine Learning systems Ability to quickly prototype ideas and solve complex problems by adapting creative approaches Experience working with distributed systems, service oriented architectures and designing APIs Strong knowledge of data pipeline and workflow management tools Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation Relevant working experience with Docker and Kubernetes is a big plus
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