Machine Learning Engineer W2
Remote, United States
Job Description
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Role Description:
- Bachelor\xe2\x80\x99s Degree in Economics, Finance, Statistics, Mathematics, Computer Science, Management Information Systems, Engineering, Business Analytics disciplines, or related area
- 4-6 Years minimum / no location constraint
- 2+ years of experience working in a Data Science/Machine Learning Engineering role. \xe2\x80\xa2 Proficient in Python, Spark (Pyspark) , and SQL
- Experience deploying and configuring applications in Kubernetes
- Experience automating cloud resource deployment in Terraform. Comfortable operating in a Linux environment.
- Experience developing production applications with Big Data, with tools like Spark, Hive, and Hadoop.
- Experience building model training pipelines in the cloud.
- Experience deploying ML services and applications to at least one major cloud platform (AWS, Azure, GCP, IBM Cloud)
- Experience building and deploying microservices as part of Machine Learning/Data Science applications.
- Experience with building continuous integration and delivery pipelines for Machine Learning applications. Preferred Qualifications
- Experience with at least one deep learning framework (e.g., TensorFlow, PyTorch, Caffe, MxNET)
- Experience developing with AWS managed services such as EMR.
- Experience orchestrating the deployment and management of predictive models in a cloud environment.
- Experience working in an AGILE development team.
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Job Detail
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Job IdJD4251147
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IndustryNot mentioned
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Total Positions1
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Job Type:Full Time
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Salary:Not mentioned
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Employment StatusPermanent
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Job LocationRemote, United States
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EducationNot mentioned