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Temporary Infosys Machine Learning Jobs in Illinois

Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/06 ... in AI, machine learning, or data-driven decision systems. Experience working with optimization ...

Entry Level CNC Machine Operator Trainee

Peoria, IL

$17 - $20/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Open and receptive to learning new skills Job Type & Location This is a Contract to Hire position ... If eligible, the benefits available for this temporary role may include the following: * Medical ...

CNC Machinist

Itasca, IL

$25 - $35/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Perform machine offsets and zero out machines accurately prior to running production to ensure ... Interest in learning how to set up various CNC machines, including both mills and lathes.

CNC Machinist

Hanover Park, IL

$25 - $35/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Perform machine offsets and zero out machines accurately prior to running production to ensure ... Interest in learning how to set up various CNC machines, including both mills and lathes.

AI Solutions Engineer (AVP)

Chicago, IL · On-site

$160K - $180K/yr

  • Medical

  • Dental

  • Vision

Experience working with AI or machine learning-enabled applications * Familiarity with cloud ... LaSalle Network is the leading provider of direct hire and temporary staffing services. For over ...

Senior Data Analyst

Chicago, IL · On-site

$76K - $100K/yr

Prepare and analyze data for use in machine learning algorithms. Assist in evaluating and ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

Showing results 21-40

Temporary Infosys Machine Learning information

What is the difference between Temporary Infosys Machine Learning vs Temporary Infosys Data Analyst?

AspectTemporary Infosys Machine LearningTemporary Infosys Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of ML algorithmsBachelor's in Statistics, Data Science, or related; proficiency in data visualization
Work EnvironmentDeveloping ML models, programming in Python/R, experimenting with algorithmsData cleaning, analysis, reporting, using SQL and BI tools
Employer & Industry UsageTech companies, consulting firms, industries adopting AI/ML solutionsFinance, healthcare, retail, industries relying on data insights

Temporary Infosys Machine Learning roles focus on developing and implementing machine learning models, requiring programming and algorithm knowledge. In contrast, Temporary Infosys Data Analyst positions emphasize data interpretation, reporting, and visualization. Both roles are vital in data-driven industries but differ in technical depth and daily tasks.

What are the most commonly searched types of Infosys Machine Learning jobs in Illinois?

The most popular types of Infosys Machine Learning jobs in Illinois are:

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For Temporary Infosys Machine Learning jobs in Illinois, the most frequently searched job titles are:

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The top searched job categories for Temporary Infosys Machine Learning jobs in Illinois are:

What cities in Illinois are hiring for Temporary Infosys Machine Learning jobs?

Cities in Illinois with the most Temporary Infosys Machine Learning job openings:

APTPUO Winter 2027- MIA- 5130 (REPOST)

Uottawa

Campus, IL • On-site

$239.47/hr

Part-time

PTO

Re-posted 11 days ago


Job description

Posting Reason:

New Position

Location:

Main Campus

Academic Period:

2027 Winter Semester

Faculty:

Faculte de genie / Faculty of Engineering

Academic Unit:

Ecole de conception et d'innovation pedagogique en genie \\ School of Engineering Design and Teaching Innovation

Course Title:

SYSTEMS OPTI AND MNGT

Course Code:

MIA5130

Section:

A

Course Description:

Posting limited to:

Professeur a temps-partiel regulier / Regular Part-Time Professor

Date Posted (YYYY/MM/DD):

2026/06/05

Applications must be received BEFORE (YYYY/MM/DD):

2026/08/15

Expected Enrolment:

30

Approval date:

2026/07/14

Number of credits:

3

Work Hours:

39

Hourly Rate:

Enseignement / Teaching: $239.47 (2024-2025)

The academic year starts on September 1 and ends on August 31.

These rates do not included vacation pay nor statutory pay.

These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.

Course type:

B

Posting type:

Regulier / Regular

Language of instruction:

Anglais | English

Competence in second language:

Active

Course Schedule:

Lundi | Monday 19:00-22:00 - -

Requirements:

Requirements
Ph.D. in computer science, engineering, mathematics, operations research, or a closely related field with strong focus on AI/ML is required.
Experience teaching a similar course at the graduate level and/or undergraduate level
Experience working on projects involving optimization techniques, such as developing algorithms, modelling complex systems, or improving business processes, with applications in AI, machine learning, or data-driven decision systems.
Experience working with optimization tools and computational methods, such as Python, MATLAB, and/or optimization libraries/solvers
Familiarity with AI or data-driven approaches in optimization, such as machine learning-enhanced optimization, heuristic methods, and intelligent decision systems.
Demonstrated industry experience applying AI, optimization, or data-driven methods to real-world problems including areas such as system optimization, data analysis, or process improvement, is highly desirable

Additional Information and/or Comments:

The course is online

An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law.

The hiring process will be governed by the current APTPUO collective agreements; you can click here for the main unit, here for the OLBI unit, or here for the Toronto/Windsor unit to find out more.

The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact vra.affairesprofessorales@uottawa.ca to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 - Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.