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Machine Learning Engineer - R1010970.01

Reading, PA

Posted: 07/22/2022 Industry: Systems, Software and IT Job Number: 14651

Job Description

Connexion’s mission is to provide "best in class" services to job seekers. We strive to achieve excellence in job placement, staffing, and recruiting services while treating candidates with the professionalism and respect they deserve.

 

Title: Machine Learning Engineer

Hiring Organization: Connexion Systems & Engineering

  • Duration: Temp  
  • Pay rate: $80-95/hr
  • Job Location: PA or FL ( Onsite)
  • Job# 14651

 

Machine Learning Engineer

 

Description:

As the Machine Learning Engineer working in ’s Advanced Analytics team, you will be in a high impact role. You will be supporting multiple businesses and functions within with their data science initiatives. You will play a key role in maturing the AI/ML Ops at organization. This is a great opportunity for someone who has some machine learning experience or planning to switch to machine learning as a career choice.

Responsibilities
As part of ’s Advanced Analytics team you will be responsible for implementation and operationalization of AI/ML models. You will work with other machine learning engineers, data scientists, software engineers and platform engineers to ensure success of the AI/ML implementations at . Specific responsibilities will include:
• Support data scientists with AI/ML model development and deployment with an emphasis on auditability, versioning, and data security.
• Build and implement applications which makes use of AI/ML models
• Work with data scientists to ensure ML models are performing with-in the expected ranges of accuracy
• Lead Self Service AI (SSAI) initiatives by supporting the citizen data scientists across
• Support AI/ML platforms like Sage Maker, SAS Viya or Dataiku
• Design data pipelines and engineering infrastructure to support our enterprise machine learning systems
• Apply software engineering rigor and best practices to machine learning, including AI/MLOPs, CI/CD, automation, etc.
• Facilitate the development and deployment of proof-of-concept machine learning systems.
• Develop and deploy scalable tools and services for our clients to handle machine learning training and inference.
• Take offline models data scientists build and turn them into a real machine learning production system.

Requirements
Bachelor’s Degree in Computer Science/Computer Engineering or equivalent years of experience.
• 1-3 years of experience developing software applications.
• Experience in technologies, frameworks and architecture like Java or Python, Angular, React, Spring, Spring Boot, XML, JavaScript, JSON, Application Servers, CI/CD is required.
• Experience in designing and building Web Applications, REST APIs is required.
• Expertise in Relational Databases, MySQL, In-Memory databases, NoSQL databases, AWS is a significant plus.
• Experience using AI/ML platforms such as Sage Maker, SAS Viya or Dataiku to deploy Models is a significant plus but not required.
• Ability to identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems.
• Understanding of the full system development lifecycle.
• Ability to work in a team environment and seek guidance on tasks from senior developers and leads.
• Regular, predictable, full attendance is an essential function of the job.
Must be a team player with Team First attitude. Must be willing and able to contribute to brainstorming sessions in a meaningful way.
Willingness to travel as necessary, work the required schedule, work at the specific location required, complete employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required.

Qualifications:
• Bachelor’s Degree in Computer Science/Computer Engineering or equivalent years of experience
• 1 years’ of experience developing software applications.
• Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
• Design data pipelines and engineering infrastructure to support our enterprise machine learning systems at scale
• Apply software engineering rigor and best practices to machine learning, including AI/MLOPs, CI/CD, automation, etc.
• Support model development, with an emphasis on auditability, versioning, and data security
• Facilitate the development and deployment of proof-of-concept machine learning systems
• Develop and deploy scalable tools and services for our clients to handle machine learning training and inference
• Take offline models data scientists build and turn them into a real machine learning production system
• Basic Knowledge of appropriate programming languages such as Java/RPG
• Basic knowledge of front-end technology such as React, Angular, jQuery, HTML, JavaScript, and CSS
• Basic Knowledge of appropriate design frameworks and object-oriented techniques dependent upon the role. (filled out by business unit)
• High level understanding of relational database design.
• Understanding of the full system development lifecycle.
• Ability to work in a team environment and seek guidance on tasks from senior developers and leads.
• Regular, predictable, full attendance is an essential function of the job.
Willingness to travel as necessary, work the required schedule, work at the specific location required, complete employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required.

Deliverables:
Model deployment in Cloud, DevOps

 

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Meet Your Recruiter

Sean Mullen
National Accounts & Recruiting Lead

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