Deployment Specialist in Quincy, MA at APEX Systems

Date Posted: 1/14/2020

Job Snapshot

Job Description

Job #:  1039292


Machine Learning DevOps Engineer Opening in Quincy, MA!
 
Apex Systems combines with parent company On Assignment to make it the 2nd largest IT staffing agency in the country.
Apex has an opportunity for a Machine Learning DevOps Engineer in the Quincy area. This is a 6+ month contract position and the pay rate is flexible depending on experience. Here are the details: 
For applicants who are interested in this Machine Learning DevOps Engineer opportunity; please send a Word resume to Matthew Bonvouloir, Technical Recruiter, at mbonvouloir@apexsystems.com.
 
Position: Machine Learning DevOps Engineer
Apex Job ID: 1039292
Location: Quincy, MA
Rate: Negotiable based on experience
Duration: 6+ months
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.
 
Additional Benefits:
For this opportunity, you will also be eligible for benefits through Apex for the contract period, 401K, medical/health benefits options, a W2 hourly rate, weekly pay, and direct deposit!
 
Perks:
Strong potential for extension.
 
 
 
 
 
 
EEO Employer
Apex is an Equal Employment Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at   844-463-6178.
 
 
 
 
 
 
 
 
 
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at 844-463-6178.