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Machine learning Engineer

Job Description



  • The Machine Learning Engineer position requires a BS/MS degree, preferably in a technical or scientific field
  • 5+ years of experience in designing, developing, integrating and running business, big data and/or data science applications
  • Expert familiarity with of a variety of classic and modern machine learning techniques including deep learning, clustering, decision tree, classification, regression and neural networks
  • Knowledge of mining complex data (including structure and unstructured), identifying patterns, and feature engineering
  • Experience with design patterns and implementation and deployment AI and/or data science products.
  • Experienced with deploying and managing infrastructures based on Docker, Kubernetes, or OpenStack, and Clouds such as OpenShift, Azure, AWS or Google Cloud Platform
  • Knowledge of data engineering and experience with big data
  • Linux and shell scripting expertise
  • Proficiency with SQL and NoSQL databases
  • Proficiency with scalable data extraction tools (e.g. Cassandra, MongoDB)
  • Proficiency with Python, R, Scala, Spark, Java and/or SAS
  • Experience developing, testing and deploying APIs
  • Experience building applications based on Microservices Architecture
  • Experience with Spring Framework: Core, Integration, MVC and SpringBoot
  • A solid understanding of large scale data processing platforms (Apache Spark, Apache Hadoop)
  • Experienced in using AI/ML platforms, technologies, techniques (e.g. TensorFlow, Apache MXnet, Theano, Keras, CNTK, scikit-learn, H2O, Spark MLlib, etc)
  • Experience with VersionOne, JIRA, Confluence, GIT(gitlab, Bitbucket or other.),
  • Experience with automating application deployment, continuous delivery, and continuous integration (Jenkins, Ansible)
  • Experience using Agile/Scrum methodologies
  • Candidate must be solutions oriented using rigorous logic and methods to solve difficult problems with effective solutions, probing all sources for answers.
  • Candidate must also have excellent written and verbal skills with the ability to communicate effectively with all levels of employees and management.
  • Additionally, candidate must be a self-learner with the ability to pick up new technologies and provide tangible results.
  • Strong problem solving skills and capability to understand and set direction for complex technology integration
  • Understanding and focus on business outcomes - Strong teamwork skills

Job Requirements

 

Job Snapshot

Location US-GA-Atlanta
Employment Type Contractor
Pay Type Year
Pay Rate N/A
Store Type IT & Technical
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Company Overview

AIC (part of ACS Group)

Analysts International Corporation (AIC) is an IT services firm fully dedicated to the success and satisfaction of its customers. From IT staffing to project-based solutions, AIC provides a broad range of services designed to help businesses and government agencies drive value, control costs and deliver on the promise of a more efficient and productive enterprise. Learn More

Contact Information

US-GA-Atlanta
AIC
585-351-2272
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Snapshot
AIC (part of ACS Group)
Company:
US-GA-Atlanta
Location:
Contractor
Employment Type:
Year
Pay Type:
N/A
Pay Rate:
IT & Technical
Store Type:

Job Description



  • The Machine Learning Engineer position requires a BS/MS degree, preferably in a technical or scientific field
  • 5+ years of experience in designing, developing, integrating and running business, big data and/or data science applications
  • Expert familiarity with of a variety of classic and modern machine learning techniques including deep learning, clustering, decision tree, classification, regression and neural networks
  • Knowledge of mining complex data (including structure and unstructured), identifying patterns, and feature engineering
  • Experience with design patterns and implementation and deployment AI and/or data science products.
  • Experienced with deploying and managing infrastructures based on Docker, Kubernetes, or OpenStack, and Clouds such as OpenShift, Azure, AWS or Google Cloud Platform
  • Knowledge of data engineering and experience with big data
  • Linux and shell scripting expertise
  • Proficiency with SQL and NoSQL databases
  • Proficiency with scalable data extraction tools (e.g. Cassandra, MongoDB)
  • Proficiency with Python, R, Scala, Spark, Java and/or SAS
  • Experience developing, testing and deploying APIs
  • Experience building applications based on Microservices Architecture
  • Experience with Spring Framework: Core, Integration, MVC and SpringBoot
  • A solid understanding of large scale data processing platforms (Apache Spark, Apache Hadoop)
  • Experienced in using AI/ML platforms, technologies, techniques (e.g. TensorFlow, Apache MXnet, Theano, Keras, CNTK, scikit-learn, H2O, Spark MLlib, etc)
  • Experience with VersionOne, JIRA, Confluence, GIT(gitlab, Bitbucket or other.),
  • Experience with automating application deployment, continuous delivery, and continuous integration (Jenkins, Ansible)
  • Experience using Agile/Scrum methodologies
  • Candidate must be solutions oriented using rigorous logic and methods to solve difficult problems with effective solutions, probing all sources for answers.
  • Candidate must also have excellent written and verbal skills with the ability to communicate effectively with all levels of employees and management.
  • Additionally, candidate must be a self-learner with the ability to pick up new technologies and provide tangible results.
  • Strong problem solving skills and capability to understand and set direction for complex technology integration
  • Understanding and focus on business outcomes - Strong teamwork skills

Job Requirements

 
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Machine learning Engineer Apply now