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Entry level machine learning engineer • chicago il

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Machine Learning Engineer

ProsumREMOTE PST, CA, US
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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 ...[internal_linking.show_more]

Machine Software Engineer

Sciaky Inc.Chicago, IL, US
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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...[internal_linking.show_more]

Entry-Level Recruiter

The LaSalle NetworkChicago, IL, United States
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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...[internal_linking.show_more]

Sr Engineer - Machine Learning - Regulatory

Cboe Global Markets, Inc.Chicago, IL
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Building trusted markets — powered by our people.At Cboe Global Markets, we inspire our people to solve complex challenges together because what we do matters.As a leading provider of market infras...[internal_linking.show_more]

Senior Machine Learning Engineer (LLMs)

AlbiChicago, IL, US
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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...[internal_linking.show_more]

Staff Machine Learning Engineer - VoIP Infrastructure

ServiceNowChicago, Illinois, United States
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What you get to do in this role:.PLATO (Platform Engineering and AI Technology Organization) at ServiceNow is a customer-focused innovative group building intelligent software using a variety of te...[internal_linking.show_more]

Entry Level Recruiter

PROSPECT EQUITIES REAL ESTATE LLCChicago, IL, US
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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...[internal_linking.show_more]

Quantum Software Engineer - Machine Learning

InfleqtionChicago, IL, US
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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...[internal_linking.show_more]

Machine Learning Quantitative Researcher – Work From Home

Next Step Systems – Recruiters for Information Technology Jobs Top IT Recruiting FirmChicago, IL, USA
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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 ...[internal_linking.show_more]

Entry Level Recruiter

Home Genius Exteriors WestChicago, Illinois, United States
[job_card.full_time] +1

Remote Recruiter (Full-Time / Part-Time – 100% Remote).Training: $15/hr for 1-2 weeks | Regular: $17.Weekly Bonuses ($1,000–$3,000+/week).Hourly + Performance Bonuses | Weekly Pay | Flexible Schedu...[internal_linking.show_more]

Sr. Machine Learning Engineer

BrooksourceChicago, Illinois
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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...[internal_linking.show_more]

Entry Level Java Full Stack Developer/MAchine learning Engineer

SynergisticITChicago, IL, US
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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...[internal_linking.show_more]

Machine Learning Engineer

PayPalUSA, Illinois, Chicago, Corp, W Merchandise Mart Plaza
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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...[internal_linking.show_more]

Principal Solutions Architect – Machine Learning

JobotChicago, Illinois, US
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Principal Solutions Architect | Drive AI Growth + Build Enterprise ML Solutions This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sen...[internal_linking.show_more]

Entry-Level Civil Engineer - Transportation

EFK MoenChicago, IL, USA
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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...[internal_linking.show_more]

Entry Level Phlebotomist

Takeda PharmaceuticalsChicago, IL, United States
[job_card.part_time]

BioLife Part-Time Plasma Donor Screener.At BioLife, we know that flexibility mattersespecially for those balancing multiple commitments.That's why we're dedicated to creating meaningful part-time o...[internal_linking.show_more]

Machine Learning Engineer

Flare energy servicesChicago, IL, USA
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We are currently seeking a highly skilled Machine Learning Engineer to join our team.As a Machine Learning Engineer, you will play a critical role in developing and implementing cutting-edge machin...[internal_linking.show_more]

Entry Level Design Engineer

Amphenol CorpChicago, Illinois, United States
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Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, is a world leader in interconnect solutions for Communications, Mobile, RF, Optics, and Commercial electronics markets.A...[internal_linking.show_more]

Associate - Entry Level

SidleyChicago
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Sidley’s Chicago office is not currently seeking entry level associates to join us in the fall of 2026.However, the firm is open to considering applications for an entry level position from candida...[internal_linking.show_more]

Machine Learning Engineer

Machine Learning Engineer

ProsumREMOTE PST, CA, US
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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