Senior Machine Learning Engineer
Company: C4 Technical Services
Location: Reston
Posted on: February 23, 2021
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Job Description:
Direct Hire Reston VA or NYC Position: Senior Machine Learning
DevOps EngineerMode: Direct Hire About the RoleAs part of the Data
Science team, you will be central in implementing / automating/
documenting / optimizing our machine learning services as well as
developing automated CI/CD pipelines that can be efficiently and
safely deployed into production.The ideal candidate will have
designed, developed, and implemented solutions that support
business functionality as well as the underlying infrastructure
required to run and deploy those solutions. The candidate must
possess the technical skills and experiences with Amazon Web
Services and continuous delivery systems. This person must be
someone who is eager to help us build best practices around
automation and excited about learning and using new technologies.
Responsibilities of the role-- Develop, integrate, manage, and
monitor machine learning microservices on AWS.-- Administer SDLC
environments on AWS.-- Promote DevOps and AWS best practices within
the team to improve quality, reduce risk, increase security,
promote efficiency, and minimize costs.-- Develop a suite of
automated tests for micro-services and infrastructure.-- Develop
secure storage practices for a variety of repositories including
relational, non-relational, and object storage.-- Design and manage
CI/CD pipelines.-- Architect and document designs using best
practices with a focus on security.-- Lead the team in developing
practices for robust and efficient deployment of models.--
Collaborate with other teams to ensure smooth integration of
services.-- Develop a deep understanding of user needs and drive
projects from the beginning (collaboratively defining requirements)
to end (monitoring and operation of production service).-- Learn
and contribute to organization-wide DevOps best practices.--
Continuously develop new skills and stay up to date on the latest
technological advances in your field.Qualifications needed for the
role-- A bachelor's degree preferably in Computer Science,
Engineering or MIS.-- 5-8 years of experience in software systems,
programming, and infrastructure development and administration.--
Minimum 3 years demonstrated experience with full-stack Python
development.More about you-- Strong hands-on technical diagnostic
experience.-- Strong, proven experience as a DevOps engineer in a
scalable production environment administrating one or more of the
following: Atlassian Suite of products (Jira, Confluence,
Bitbucket, Crowd) and Artifactory.-- Strong practical Linux-based
systems administration skills and shell-scripting experience in a
cloud-based environment.-- Experience with Node.js/JavaScript and
Python frameworks and design patterns.-- Experience working with
APIs and Microservices.-- Working knowledge of containerization
technologies (e.g. Docker).-- Experience with Distributed Service
Standards (REST, SOA, microservices).-- Familiarity with monitoring
tool suites (e.g. Cloudwatch, DataDog, SumoLogic, NewRelic, and
Nagios).-- Experience with automated testing tools (e.g. Selenium,
Mocha/Chai, PyTest).-- Working knowledge of containerization
technologies (e.g. Docker).-- Experience with a serverless
computing including AWS Lambda, Fargate, Step Functions.--
Experience building and maintaining microservices that use various
AWS AI services (e.g., Sagemaker, Augmented AI, and Rekognition).--
Working knowledge of IP Networking, VPCs, DNS, Load Balancing, and
firewalls.-- Experience building infrastructure as code using AWS
Cloud Formation or similar scripting techniques.-- Experience with
Chef, Puppet, Salt, or Ansible in production environments.--
Experience managing releases into production using AWS Code
Pipeline.-- Expertise with Git, including branching workflows.--
Excellent interpersonal and collaboration skills with the ability
to work with a diverse set of colleagues.-- Strong decision-making,
problem-solving skills, critical thinking, and testing skills.--
Self-starter with the ability to set priorities, work
independently, and attain goals.-- The ethos of continuous
improvement and interest in learning new things.-- Strong ability
to understand and internalize the big picture and broader
implications.-- Experience working as part of an Agile team. -
provided by Dice
Keywords: C4 Technical Services, Reston , Senior Machine Learning Engineer, Engineering , Reston, Virginia
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