Machine Learning Engineer – New York, NY

Machine Learning Engineer

Pactera EDGE is a global organization with offices in the US, Europe, India, and Asia-Pacific. Clients include 100+ of the Global 500 companies, with industry concentration in Software and Technology, CPG, Retail, Logistics, Financial Services, Insurance, Healthcare, Food

Beverage, and Travel



Position DevOps

MLOps Engineer (Machine Learning Engineer)

Location NYC, NY

Summary The candidate should be able to create an End to End MLOps pipeline on Azure Cloud and have a strong understanding of Resource Groups, Subscriptions, Workspaces, Security and cost management using Azure cloud assets

Job Responsibilities

This is the DevOpsMLOps Engineer role Key Responsibilities Mainly on Azure Cloud

Build automation jobs for CI CD development build and deployment of applications Deploy applications on Support Cloud platforms, Container orchestration platforms, Internal external and complex multi-tiered infrastructure environments Working with cutting edge CI CD technologies using to identify improvements and work with multiple teams to see these through to resolution Working with a broad Infrastructure technology stack including Linux Windows RDBMS Networks Micro Service Architecture Support Test environment, build support issue resolution, Seamless DevOps delivery of infrastructure change from development through to production

Job Requirements

Required Skills Hands on experience with Unix systems Hands on Experience with CI

CD frameworks like Jenkins, TeamCity etc. and working knowledge in Maven. Hands on Experience in building Docker images, Docker deployments, Private Repository configuration, Container configurations, Container orchestration using Kubernetes or Docker Swarm Experience with unit testing frameworks and integration with CI technologies Experience with Code coverage tools such as SonarQube and integration with CI technologies Automating configuration management using tools like Ansible, Chef or Puppet Automating provisioning in cloud environments preferably GCP, AWS Experience in Scripting with Python, Groovy, Unix Shell, PowerShell etc. Knowledge of ELK stack is desirable Ability to learn, explore and experiment with open source DevOps tools and technologies is a must.


Technologies Jenkins, Ansible, Chef, Puppet Unix Shell, Python, Groovy Docker, Docker Swarm, Kubernetes SonarQube, JIRA.


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