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Executive Order 11246, Section 503 & VEVRAA EOE, including disability/vets
AWS Kubernetes Python Development ECS EMR Project EC2 Management S3 Management Azure
 
Requirement id 97566
Job title Consultant
Job location in Smithfield, RI
Skills required AWS, Docker Experince, Kubernetes, Python Development ECS EMR Project EC2 M
Open Date 10-Sep-2019
Close Date
Job type Contract
Duration 5 Months
Compensation DOE
Status requirement ---
Job interview type ---
Apply
   Email Recruiter: coolsoft
Job Description Consultant: AWS, Docker Experince, Kubernetes, Python Development ECS EMR Project EC2 M

Description:

Principal Software Engineer (Machine learning and analytics platform model engineer)

Must Have:
- AWS
- Docker
- Kubernetes
- Python

Responsibilities:

Design and build Docker containers to host data recipe, model, and performance analysis
Establish patterns that are repeatable for building data artifact containers, model artifact containers, and performance analysis containers in exploration, challenge and production lanes.
Use your experience in many of the following:
AWS, EKS, ECS, EMR, EC2, S3, Azure, Google, Concourse, Artifactory, GIT
Clear understanding of Elastic scaling on the cloud and the management/tuning of resources on the cloud
Kubernetes, Docker, PCF
Python scripts, objects, and modules including knowledge of creating and distribution of code built using them.
Google Tensorflow, Tensor serving, H2O.ai, and other similar frameworks
Shell scripting, Curl, Java, C++, Hadoop, Yarn, PL/SQL, Parquet files, Spark,
Knowledge of data wrangling/data recipe preparation tools such as Trifacta and model interface performance management tools such as FastCore is a plus
Use monitoring resources and to measure and recommend optimal deployment configurations
Use your experience with model life-cycle management to recommend optimal solutions for the enterprise
Qualifications:

Experience containerizing and deploying applications and services to cloud platforms such as Amazon Web Services (AWS), Azure, and Google cloud using Kubernetes and Dockers.
Current experience managing life-cycle of machine learning models deployed to the cloud using CI/CD tools such as Concourse.
Experience with AI model physical architecture and an ability to interact with architects to arrive at solutions will be key.
Prior experience supporting data scientist and building models using Python, Tensor flow, H2O.AI etc. is required.
Candidates will be required to possess the necessary organizational and leadership skills to work with multiple cross functional teams across the enterprise.
Being a highly motivated and responsive team player who can multi-task and work under minimal supervision is a must.
 
Call 502-379-4456 Ext 100 for more details. Please provide Requirement id: 97566 while calling.
 
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(Consultant: AWS, Docker Experince, Kubernetes, Python Development ECS EMR Project EC2 M in Smithfield, RI)
     
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