Deployment Specialist

at Apex Systems Inc

location Quincy, Massachusetts

Updated on Jan 14, 2020

Contract Position
6 month(s)

  • Referral Bonus

    $665

    approx.
  • Signing Bonus

    $665

    approx.

Pay Rate $66.50 per hour

Experience 7-12 Years

Eligibility H-1B visa, Green Card, US citizen

Industry

Information Technology Services

Travel

Not Specified

Job ID

PATDC699019

Working Remotely Allowed

No

JOB DESCRIPTION

In person interview required.

Primary Skills: Kubernetes,Docker, Python, Cloud, Data Science modeling, Big data technologies

Position Description:
Our large retail Client in Quincy is looking for a Machine Learning DevOps Engineer to join their team. The ideal candidate will act as the deployment liaison between the architect and the data science team. Candidate will need to understand how to deploy data models/frameworks in machine learning, and possess a thorough understanding of end-to-end Data Science and Machine Learning development. The ideal candidate will also have successfully productionized/operationalized models in a DevOps environment within the Cloud.

Relevant Experience:
1.  Experience with productionizing ML Models.
2.  Experience building Data Science models for real-world use cases.
3.  Overview of ML Model Life-Cycle and Processes.
4.  Real-time Model Integration.
5.  CI/CD Experience.
6.  Strong familiarity of DevOps Workflow.
7.  Data Engineering/Modeling Experience.
8.  Big Data Proficiency.

Required Technical Skills:
1.  Python Scripting
2.  ML frameworks including but not limited to: Keras, Pytorch, Tensorflow, Scikit-Learn
3.  Cloud experience- Azure is preferred
4.  Kubernetes/Docker
5. Understanding of Data Science Models (Regression, Neural networks, Clustering, SVMs, etc.)
6.  Openshift/Serverless deployment experience.
7.  Model Packaging Workflow (.pkl and .pb Models).
8.  Hadoop/Hive or similar big data frameworks.

Desired Skills (not required but candidate will have exposure to these skills in this role):
1.  ClickStream

Additional Requirements:
Candidates may be subject to background check and drug test.

Perks:
Strong potential for extension

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