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Entry level machine learning engineer Jobs in Chicago, IL

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Entry level machine learning engineer • chicago il

Last updated: 10 hours ago

Machine Learning Engineer

ProsumREMOTE PST, CA, US
Remote
Permanent
Quick Apply

We are seeking a skilled Machine Learning Engineer (MLOps) to support the full lifecycle of machine learning models, including design, development, deployment, and maintenance.This role focuses on ...Show more

Machine Learning Engineer

Ontrac SolutionsChicago, Illinois, United States
Full-time

This role is ideal for junior-to-mid-level engineers with strong.Google Cloud Platform experience.The selected engineers will work under the direct guidance of a.MLOps execution, pipeline maintenan...Show more

Machine Software Engineer

Sciaky Inc.Chicago, IL, US
Full-time
Quick Apply

Established in 1939, Sciaky, Inc.Our wide selection of electron beam welders, electron beam additive manufacturing (EBAM ® ) solutions and advanced arc welders makes us the most versatile welding s...Show more

Entry-Level Recruiter

The LaSalle NetworkChicago, IL, United States
Full-time

LaSalle Network is hiring Entry-Level Recruiters to join our award-winning Chicago team! If you're a recent grad or early-career professional looking for a fast-paced, people-centered career with u...Show more

Senior Machine Learning Engineer (LLMs)

AlbiChicago, IL, US
Full-time
Quick Apply

We’re building deeply integrated LLMs into a real product used daily by restoration companies running thousands of jobs.This is not a “prompt engineer” role.You’ll design, train, and ship domain-sp...Show more

Entry Level Recruiter

PROSPECT EQUITIES REAL ESTATE LLCChicago, IL, US
Full-time

This role is ideal for a self-motivated professional with some sales or recruiting experience.As a Junior Recruiter, you will be responsible for identifying and onboarding real estate agents and so...Show more

Machine Learning Engineer

PayPalChicago, Illinois, United States of America
Full-time

Model Development: Design and implement core decision models for identity, onboarding, authentication, abuse, scam, product-specific models.Anomaly Detection: Develop and refine algorithms for dete...Show more

Quantum Software Engineer - Machine Learning

InfleqtionChicago, IL, US
Full-time
Quick Apply

We are seeking a Quantum Software Engineer with expertise in quantum-inspired classical machine learning and quantum machine learning (QML).This role will focus on developing advanced ML models and...Show more

Principal Machine Learning Engineer - VoIP Infrastructure

ServiceNowChicago, Illinois, United States
Full-time

PLATO (Platform Engineering and AI Technology Organization) at ServiceNow is a customer-focused innovative group building intelligent software using a variety of technology stacks to enable end-to-...Show more

Entry-Level Estimator

GpacChicago, Illinois, United States
Full-time
Quick Apply

Entry-Level Mechanical Engineer (Estimating / Project Cost Analyst).Chicago, IL | $75,000–$90,000 + Growth Opportunity.Are you a recent Mechanical Engineering graduate looking to get your foot in t...Show more

 • New!

Machine Learning Quantitative Researcher – Work From Home

Next Step Systems – Recruiters for Information Technology Jobs Top IT Recruiting FirmChicago, IL, USA
Remote
Full-time

Machine Learning Quantitative Researcher – Work From Home.We are currently looking for a Machine Learning Quantitative Researcher for a great opportunity.The company participates in a wide variety ...Show more

Sr. Machine Learning Engineer

BrooksourceChicago, Illinois
Permanent

This role is for a contract Machine Learning Engineer responsible for delivering MLOps pipelines for production models leveraging both AWS and Databricks.Work collaboratively with Software Engineer...Show more

Entry Level Sales

Home Genius Exteriors WestChicago, Illinois, United States
Full-time

Unlock Your Sales Potential with Home Genius Exteriors!.Ditch the cold calls and step into a.Become a part of the team and launch our second full fiscal year in this market.We're looking for driven...Show more

Machine Learning Engineer Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia

IMC Financial MarketsChicago, IL, US
Full-time +1

As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations.You'll collaborate with...Show more

Entry Level Java Full Stack Developer/MAchine learning Engineer

SynergisticITChicago, IL, US
Full-time

Applied Everywhere? Still No Offers? Let's Fix the Missing Link.If you've sent out hundreds—maybe thousands—of applications and your inbox is still silent, it doesn't mean you're not capable.It usu...Show more

Machine Learning Engineer

PayPalUSA, Illinois, Chicago, Corp, W Merchandise Mart Plaza
Full-time

Model Development: Design and implement core decision models for identity, onboarding, authentication, abuse, scam, product-specific models.Anomaly Detection: Develop and refine algorithms for dete...Show more

Senior Software Engineer - Machine Learning

Uber FreightChicago, IL, United States
Full-time

Senior Software Engineer - Machine Learning.The Uber Freight team is building a better future for shipping.We believe that when shippers and carriers have the freedom to move together, the entire i...Show more

Entry-Level Civil Engineer - Transportation

EFK MoenChicago, IL, USA
Full-time
Quick Apply

Entry-Level Civil Engineer – Transportation |.Join a dynamic team shaping the future of transportation infrastructure in Illinois.This position will report to the Northern Illinois Regional Manager...Show more

Entry Level Phlebotomist

Revel StaffingChicago, IL, United States
Full-time

A confidential healthcare organization is seeking an experienced and dependable Phlebotomist to support plasma collection operations in a regulated, safety-focused environment.This role is essentia...Show more

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Machine Learning Engineer

Machine Learning Engineer

ProsumREMOTE PST, CA, US
30+ days ago
Job type
  • Permanent
  • Remote
  • Quick Apply
Job description
Machine Learning Engineer
Pay Rate: $75–$89/hour
Position Summary
We are seeking a skilled Machine Learning Engineer (MLOps) to support the full lifecycle of machine learning models, including design, development, deployment, and maintenance. This role focuses on building scalable, production-ready AI/ML solutions and ensuring seamless integration within existing systems.

The ideal candidate will collaborate with cross-functional teams to deploy, monitor, and optimize machine learning models that drive operational efficiency, innovation, and data-driven decision-making. This position requires strong experience in MLOps, DevOps practices, and cloud-based AI infrastructure.
Key Responsibilities
  • Design, build, deploy, and maintain machine learning models in production environments
  • Develop and manage end-to-end MLOps pipelines, including model versioning, monitoring, and automation
  • Implement scalable ML infrastructure using cloud platforms (AWS, Azure, or GCP)
  • Build and optimize CI/CD pipelines for automated testing and deployment of ML models
  • Collaborate with data scientists, data engineers, and DevOps teams to operationalize AI solutions
  • Monitor model performance, system health, and data drift; implement logging and alerting solutions
  • Ensure reliability, scalability, and performance of ML systems in real-time inference environments
  • Maintain version control for models and code to support reproducibility and collaboration
  • Apply best practices for testing, debugging, and performance optimization
  • Ensure compliance with data security, privacy, and regulatory standards
  • Create and maintain technical documentation for ML systems and processes
Required Qualifications
  • Bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field
  • 3+ years of experience in machine learning engineering or MLOps
  • Hands-on experience managing the end-to-end machine learning lifecycle
  • Strong programming skills in Python, R, and/or SQL
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
  • Experience with containerization (Docker) and orchestration tools (Kubernetes)
  • Experience with infrastructure as code tools such as Terraform
  • Experience building and maintaining CI/CD pipelines (e.g., GitHub Actions)
  • Strong understanding of software development, system architecture, and deployment processes
  • Experience with monitoring, logging, and performance tuning of ML systems
  • Knowledge of version control systems (e.g., Git)
Preferred Qualifications
  • Master’s degree in Computer Science, Engineering, or a related field
  • Experience working with healthcare data or regulated environments
  • Familiarity with Electronic Health Record (EHR) systems
  • Experience with predictive modeling, natural language processing (NLP), and large language models (LLMs)
  • Knowledge of retrieval-augmented generation (RAG) frameworks and their applications
  • Understanding of agile methodologies and DevOps lifecycle practices
Core Competencies
  • Production-grade ML model deployment and lifecycle management
  • Scalable infrastructure design for AI/ML workloads
  • Cross-functional collaboration and technical leadership
  • Strong analytical and problem-solving skills
  • Effective technical communication and documentation
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