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Hourly Embedded Machine Learning Jobs in Downers Grove, IL

Senior Data Engineer

Chicago, IL · On-site

$140K - $170K/yr

... machine learning to help IT and business leaders make better decisions faster, operationalize AI ... Develop and optimize reporting and analytics experiences delivered through embedded analytics ...

Understanding of multiples OS's, including Windows, Linux, Windows Embedded, or NI-OS ? Familiarity with machine learning algorithms for vision problems ? Strong personal self-discipline as well as ...

Technical Program Manager

Chicago, IL · On-site

$85K - $92K/yr

... embedded systems, AI infrastructure, machine learning, semiconductor, and next-generation edge computing platforms. This role will lead complex hardware and software development programs from concept ...

Technical Program Manager

Chicago, IL · On-site +1

$89K - $110K/hr

... embedded systems, AI infrastructure, machine learning, semiconductor, and next-generation edge computing platforms. This role will lead complex hardware and software development programs from concept ...

AI Technical Consultant

Chicago, IL · On-site

$62 - $100/hr

... embedded with business experts in Crowe's AI teamDocument findings and provide strategic ... Support AI Model PrototypingHelps senior team members test simple machine learning or AI scripts ...

New

... embedded with business experts in Crowe's AI team * Document findings and provide strategic ... Helps senior team members test simple machine learning or AI scripts using existing frameworks or ...

Showing results 41-60

Hourly Embedded Machine Learning information

See Downers Grove, IL salary details

$69.8K

$153K

$173.6K

How much do hourly embedded machine learning jobs pay per year?

As of Aug 24, 2026, the average yearly pay for hourly embedded machine learning in Downers Grove, IL is $153,027.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,200.00 and $172,600.00 per year, depending on experience, location, and employer.

What is an hourly embedded machine learning engineer?

An Hourly Embedded Machine Learning engineer is a professional who specializes in developing and deploying machine learning models on embedded systems, such as microcontrollers, IoT devices, or edge devices, and is compensated on an hourly basis rather than a salaried or project-based arrangement. These engineers work to optimize algorithms so they can run efficiently on devices with limited computing power, memory, and energy resources. Their responsibilities often include model selection, quantization, optimization, and integration of machine learning pipelines into hardware. Hiring on an hourly basis allows for flexibility in project scope and duration, making it ideal for companies with specific, time-limited needs. They often collaborate with hardware engineers, data scientists, and software developers to create intelligent embedded solutions.

How does an hourly embedded machine learning professional typically collaborate with hardware and software teams during a project?

As an Hourly Embedded Machine Learning professional, you will often work closely with both hardware and software engineering teams to ensure that machine learning models are efficiently integrated into embedded systems. This typically involves frequent communication to align on hardware constraints, such as memory and processing power, and to optimize algorithms for real-time performance. You may also participate in joint debugging sessions and code reviews to address integration issues and streamline deployment. Collaboration is key, as successful projects depend on the seamless interaction between machine learning solutions and the embedded hardware platform.

What are the key skills and qualifications needed to thrive as an hourly embedded machine learning engineer, and why are they important?

To thrive as an Hourly Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with tools such as TensorFlow Lite, embedded Linux, microcontroller development environments, and model optimization frameworks is typically required. Strong problem-solving skills, adaptability, and effective communication help you address complex technical challenges and collaborate with cross-functional teams. These skills are crucial for designing efficient, real-time ML solutions that operate reliably on resource-constrained embedded devices.

What is the difference between Hourly Embedded Machine Learning vs Hourly Data Scientist?

AspectHourly Embedded Machine LearningHourly Data Scientist
CredentialsKnowledge of embedded systems, programming, ML algorithmsDegree in Data Science, Statistics, or related field
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsData analysis, modeling, visualization in office or cloud
Industry UsageConsumer electronics, automotive, IoT devicesFinance, healthcare, marketing, research

Hourly Embedded Machine Learning specialists focus on integrating ML models into embedded systems and hardware, often working with IoT devices and real-time constraints. In contrast, Hourly Data Scientists analyze large datasets to develop predictive models primarily in cloud or office environments. While both roles require programming skills, embedded ML emphasizes hardware integration, whereas data science centers on data analysis and visualization.

What are popular job titles related to Hourly Embedded Machine Learning jobs in Downers Grove, IL?

For Hourly Embedded Machine Learning jobs in Downers Grove, IL, the most frequently searched job titles are:

What job categories do people searching Hourly Embedded Machine Learning jobs in Downers Grove, IL look for?

The top searched job categories for Hourly Embedded Machine Learning jobs in Downers Grove, IL are:

What cities near Downers Grove, IL are hiring for Hourly Embedded Machine Learning jobs?

Cities near Downers Grove, IL with the most Hourly Embedded Machine Learning job openings:

Senior Data Scientist - PBM Analytics

Chicago, IL • On-site


CVS Health
Health Care and Social Assistance • 10K+ employees

5.8

Company rating: 5.8 out of 10

Based on 4,345 frontline employees who took The Breakroom Quiz

91st of 113 rated pharmacies

Recommended by students

Recommended by parents

Respectful managers


$101K - $222K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Within the data science department ("Analytics & Behavior Change"), you'll have the opportunity to drive the next level of PBM (Pharmacy Benefit Manager) member experience and service quality at a leading national healthcare brand.

We're lookingfor data scientists who thrive in ambiguous, fast-moving environmentsto drive efficiency and growth in Caremark's PBM business, using advanced analytics, predictive modeling, and statistics. We expect the candidate to leverage business acumen and good data storytelling to help Caremark improve member well-being and its product and services. PBM Analytics is one of the key teams within the Analytics & Behavior Change department and partners with the PBM leadership to drive innovation and develop cutting edge solutions.

This is a hands-on Senior data scientist role, with a combination of business / stakeholder consulting and, data analysis (technical coding, including using machine learning methods).

Position Summary

  • Generate insights, build machine learning, deep learning and statistical predictive models and develop analytical approaches which form the foundation for driving patient engagement tactics aimed at improving medication adherence and patient experience.

  • Deploy large scale machine learning and deep learning models in a production environment.

  • Effectively collaboratecross functionallywith Data Engineering, IT and other technical teams to onboard new data sources, create feature stores and optimize/ automate model development and deployment processes (Github, MLOps etc.)

  • Perform data quality assessments, remediate or curate data as necessary, perform data modeling

  • Write complex and efficient SQL code and leverage Exploratory Data Analysis techniques to develop insightsfrom millions of adjudicated prescription claims and member level records across the PBM

  • Communicate complex modeling outputs into clear business narratives for non-technical audiences & senior leadership to build credibility across levels and functions

  • Prepare communication material such as presentations and reports, collaborate effectively with business, marketing, trade and other stakeholders across the organization.

  • Mentor peers and lead intern projects.


Required Qualifications

  • 3+years of hands-on experience in generating business insights, machine learning, and deep learning frameworks

  • Proficiency in evaluating AI outputs for accuracy, mitigating bias, and directing large language models to deliver actionable business insights

  • Strong experience with deployment of machine learning and deep learning models in production

  • Strong proficiency with Python and SQL, data quality assessment, and data modeling

  • Strong proficiency with Github and MLOps


Preferred Qualifications

  • Strong experience with cloud-based ML frameworks (either GCP, AWS, or Azure)

  • Experience with prompt engineering, Retrieval-Augmented Generation (RAG), and deploying machine learning pipelines

  • Experience in healthcare and/ or pharma


Education

  • Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.

  • Master's degree or PhD preferred

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$101,970.00 - $222,480.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 08/20/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.



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