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Temporary Machine Learning Software Engineer Jobs in Illinois

Reyes Coca-Cola Bottling

Machine Learning Engineer

Niles, IL · On-site

$53 - $72.75/hr

... machine learning models * Deploy and manage ML models in production environments using ... Software Engineering, or a related field or High School Diploma/General Education Diploma and 7 ...

Reyes Coca-Cola Bottling

Machine Learning Engineer

Niles, IL · On-site

$53 - $72.75/hr

... machine learning models * Deploy and manage ML models in production environments using ... Software Engineering, or a related field or High School Diploma/General Education Diploma and 7 ...

Darwill, Inc.

Machine Learning Engineer

Villa Park, IL · On-site

MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized print and marketing communications firm based in the west suburbs of Chicago. As a premier provider of ...

Autodesk

Senior Machine Learning Test Engineer

Ohio, IL · On-site +1

$104K - $135K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Your skills span test strategy, automation, and a little MLOps, with a strong software engineering ...

IMC

Hardware Machine Learning Engineer

Chicago, IL

$127K - $167K/yr

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... We build the hardware, the software, and the infrastructure, so when you hit a bottleneck, you can ...

Coinflow

Machine Learning Engineer

Chicago, IL · On-site

$160K - $220K/yr

Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers our platform. This is a zero-to-one role. You will be the first dedicated ML hire and will own how ...

Gotion, Inc.

Machine Learning Engineer

Manteno, IL · On-site

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

PayPal, Inc.

Machine Learning Engineer

Chicago, IL · On-site

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

PayPal

Machine Learning Engineer

Chicago, IL · On-site

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... Knowledge of software engineering best practices including version control (Git) and CI/CD ...

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$107K - $147K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... Knowledge of software engineering best practices including version control (Git) and CI/CD ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

We build the hardware, the software, and the infrastructure, so when you hit a bottleneck, you can ... Understanding of machine learning fundamentals - neural network architectures, inference ...

Lessen

Machine Learning Engineer II

Chicago, IL · On-site

$100K - $137K/yr

The Machine Learning Engineer II role is part of the Technology Team, which is responsible for ... Experience with a statistical software (e.g. R, SAS) * Experience with natural language processing

Epic

Software Engineer

Joliet, IL · On-site

As a software developer, you will utilize modern methodologies and technologies to innovate and ... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ...

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Temporary Machine Learning Software Engineer information

What is the difference between Temporary Machine Learning Software Engineer vs Data Scientist?

AspectTemporary Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related fields; coding skillsBachelor's or Master's in CS, Statistics, or related fields; analytical skills
Work EnvironmentSoftware development teams, project-based rolesData analysis teams, research-focused roles
Employer & Industry UsageTech companies, startups, consulting firmsFinance, healthcare, tech, research institutions
Search & Comparison IntentOften compared for technical roles involving ML implementationCompared for data analysis and modeling expertise

The main difference is that a Temporary Machine Learning Software Engineer focuses on developing and deploying ML models within software projects, while a Data Scientist emphasizes data analysis, statistical modeling, and deriving insights from data. Both roles require strong technical skills, but their focus areas and typical tasks differ.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Illinois? The most popular types of Machine Learning Software Engineer jobs in Illinois are:
What cities in Illinois are hiring for Temporary Machine Learning Software Engineer jobs? Cities in Illinois with the most Temporary Machine Learning Software Engineer job openings:
Temporary Machine Learning Software Engineer jobs near you

Machine Learning Engineer

Reyes Coca-Cola Bottling

Niles, IL • On-site

$53 - $72.75/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago

Reyes Coca-Cola Bottling rating

8.1

Company rating: 8.1 out of 10

Based on 94 frontline employees who took The Breakroom Quiz

65th of 380 rated food and drinks producers

Job description

Position Responsibilities: 

  • Design, build, and maintain Continuous Integration/Continuous Development (CI/CD) pipelines for machine learning models 
  • Deploy and manage ML models in production environments using containerization and orchestration technologies 
  • Implement monitoring, logging, and alerting solutions to track model performance, system health, and data drift 
  • Collaborate with data scientists to understand model requirements and optimize the process of transforming models from development to a production-ready state 
  • Create and maintain technical documentation for ML Operations (Ops) processes, infrastructure, and deployments 
  • Define ML/Artificial Intelligence (AI) governance to ensure data security and ethical standards are met for all modeling processes 
  • Travel up to 5% of the time 
  • Other duties as assigned  

Required Education and Experience: 

  • Bachelor’s degree in computer science, Data Science, Mathematics, or related quantitative discipline and 3 to 5 plus years of experience in ML Engineering, Software Engineering, or a related field or High School Diploma/General Education Diploma and 7 plus years of the above stated experience 

Preferred Education and Experience: 

  • Master’s Degree in computer science, Data Science, or other graduate education in related quantitative fields 
  • Hands-on experience with CI/CD pipelines, automation tools, and version control systems like Azure DevOps, Github, or similar and strong understanding of machine learning concepts and the ML development lifecycle 
  • Experience building ML Ops infrastructure and serving models via cloud platforms such as Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP) 
  • Strong proficiency in Python and working knowledge of Bash/shell scripting for automation and system operations 
  • Strong understanding of Structured Query Language (SQL) and experience with big data platforms, i.e., Snowflake, Databricks, or similar 
  • Experience with Infrastructure-as-Code tools, i.e., Terraform, Azure Resource Manager, or similar

Benefits
At the Reyes Family of Businesses, our Total Rewards Strategy prioritizes the holistic well-being of our employees. This position offers a comprehensive benefits package that includes Medical, Dental, Vision coverage, Paid Time Off, Retirement Benefits, and complimentary Health Screenings.
Equal Opportunity Employee & Physical Demands
Reyes Holdings and its businesses are equal opportunity employers. Company policy prohibits discrimination and harassment against any applicant or employee based on race, color, religion, sex, pregnancy or pregnancy-related medical conditions, marital status, sexual orientation, gender identity or expression, age, national origin, citizenship, disability, genetic information, military or veteran status, or any other basis protected by applicable law. In addition, the Company is committed to providing reasonable accommodation to applicants and employees in accordance with applicable law. Requests for accommodation should be directed to your point of contact in the Talent Acquisition or Human Resources departments.
Background Check and Drug Screening
Offers of employment are contingent upon successful completion of a background check and drug screening.
Pay Transparency
Our compensation philosophy embraces diverse factors for fair pay decisions, valuing skills, experience, and the needs of our business. Moreover, this role may have the opportunity to participate in a discretionary incentive program, subject to program rules.Qualifications:

Required Education and Experience: 

  • Bachelor’s degree in computer science, Data Science, Mathematics, or related quantitative discipline and 3 to 5 plus years of experience in ML Engineering, Software Engineering, or a related field or High School Diploma/General Education Diploma and 7 plus years of the above stated experience 

Preferred Education and Experience: 

  • Master’s Degree in computer science, Data Science, or other graduate education in related quantitative fields 
  • Hands-on experience with CI/CD pipelines, automation tools, and version control systems like Azure DevOps, Github, or similar and strong understanding of machine learning concepts and the ML development lifecycle 
  • Experience building ML Ops infrastructure and serving models via cloud platforms such as Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP) 
  • Strong proficiency in Python and working knowledge of Bash/shell scripting for automation and system operations 
  • Strong understanding of Structured Query Language (SQL) and experience with big data platforms, i.e., Snowflake, Databricks, or similar 
  • Experience with Infrastructure-as-Code tools, i.e., Terraform, Azure Resource Manager, or similar
Education:UNAVAILABLEEmployment Type: FULL_TIME

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