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Mid Level Machine Learning Teaching Jobs in Illinois

GRVTY

Mid-Level Systems Engineer

Virginia, IL · On-site

... wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi ... What You'll Be Owning GRVTY is seeking a Mid-Level Systems Engineer with a TS/SCI + Poly clearance ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Take your career to the next level at one of G2's Top 100 Software Companies. Explore our Product & Technology positions to see where you fit! Senior Engineer Machine Learning Position Overview ...

Links Partners

Machine Learning Scientist

Chicago, IL · On-site

$116K - $130K/yr

Chicago, IL Job Overview As a machine learning scientist in our clients innovative and fast-paced ... Seniority level Associate Employment type Full-time Job function Information Technology Software ...

Caterpillar

Senior Machine Learning Engineer

Mossville, IL · On-site

$112K - $183K/yr

As a Machine Learning Infrastructure Engineer, you will be responsible for developing and deploying ... level, market location, job-related knowledge, skills, individual performance and experience.

The Hartford

Senior AI Machine Learning Engineer

Chicago, IL · Hybrid

$126K - $166K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and ... Expert-level Github experience, including Github Actions * Strong object oriented development ...

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Mid Level Machine Learning Teaching information

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data analysis, and programming. These positions usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses as part of compensation.

Which 3 jobs will survive AI?

Mid Level Machine Learning Teaching roles are likely to persist as they require specialized knowledge, human interaction, and the ability to adapt to new AI tools. Jobs that involve complex problem-solving, creativity, and emotional intelligence, such as data scientists, AI ethics specialists, and technical trainers, are also expected to remain in demand despite AI advancements.

Will MLE be replaced by AI?

Mid Level Machine Learning Engineers (MLEs) focus on developing, deploying, and maintaining machine learning models, which requires a combination of programming, data analysis, and domain knowledge. While AI automation tools can assist with certain tasks, MLEs are essential for designing complex models, troubleshooting, and ensuring ethical and effective implementation, making complete replacement unlikely in the near term.

What is the difference between Mid Level Machine Learning Teaching vs Data Scientist?

AspectMid Level Machine Learning TeachingData Scientist
Required CredentialsBachelor's or Master's in CS, ML, or related; teaching experienceBachelor's or Master's in CS, Data Science, or related; often requires experience
Work EnvironmentEducational institutions, online platforms, corporate trainingTech companies, finance, healthcare, research labs
Employer & Industry UsageEducational and training sectors, universities, online educationPrivate sector, industry-specific applications, research
Common Search & Comparison IntentUnderstanding teaching roles in ML, educational careersData analysis, modeling, industry applications

Mid Level Machine Learning Teaching focuses on educating students or professionals in ML concepts, often requiring teaching experience and educational credentials. Data Scientists analyze data, build models, and apply ML techniques in industry settings. While both roles involve ML knowledge, teaching emphasizes instruction, whereas data science emphasizes application and analysis.

Can I learn ML in 3 months?

For a mid-level machine learning teaching role, gaining foundational knowledge in machine learning typically requires several months of dedicated study, including understanding algorithms, programming in Python, and working with tools like scikit-learn or TensorFlow. While intensive learning over three months can build basic skills, achieving proficiency suitable for teaching or advanced roles usually takes longer and involves practical experience and project work.
What are the most commonly searched types of Machine Learning Teaching jobs in Illinois? The most popular types of Machine Learning Teaching jobs in Illinois are:
What are popular job titles related to Mid Level Machine Learning Teaching jobs in Illinois? For Mid Level Machine Learning Teaching jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Mid Level Machine Learning Teaching jobs in Illinois look for? The top searched job categories for Mid Level Machine Learning Teaching jobs in Illinois are:
What cities in Illinois are hiring for Mid Level Machine Learning Teaching jobs? Cities in Illinois with the most Mid Level Machine Learning Teaching job openings:
Mid Level Machine Learning Teaching jobs near you
Engineer II, Machine Learning Ops CBM Lab

Engineer II, Machine Learning Ops CBM Lab

Shirley Ryan AbilityLab

Chicago, IL • On-site

Full-time

Re-posted 26 days ago

Shirley Ryan AbilityLab rating

6.4

Company rating: 6.4 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

Job description

Shirley Ryan AbilityLab is the global leader in physical medicine and rehabilitation for adults and children with the most severe, complex conditions. By joining our team, you'll be part of our life-changing mission and vision. You'll contribute to an innovative, multifaceted culture that is second to none - one that embraces collaboration, excellence, discovery and compassion. You'll play a role in something that's never been done before as we integrate science and clinical care to help patients achieve better, faster outcomes - as we Advance Human Ability, together.
Job Description Summary
The Machine Learning Ops Engineer II works under general supervision and plays an active role in the design, development, and/or operationalization of machine learning models. This position involves responsibility in planning and managing artificial intelligence (AI) and machine learning (ML) lifecycle processes and contributing to the efficiency and effectiveness of deployed models.
The Machine Learning Ops Engineer II will consistently demonstrate support of the Shirley Ryan AbilityLab statement of Vision, Mission and Core Values by striving for excellence, contributing to the team efforts and showing respect and compassion for patients and their families, fellow employees, and all others with whom there is contact at or in the interest of the institute.
The Machine Learning Ops Engineer II will demonstrate Shirley Ryan AbilityLab Core Attributes: Communication, Accountability, Flexibility/Adaptability, Judgment/Problem Solving, Customer Service and Core Values (Hope, Compassion, Discovery, Collaboration, and Commitment to Excellence) while fulfilling job duties.
Job Description
The Machine Learning Engineer II will:
  • Actively participates in deploying, monitoring, and scaling machine learning models in production and big data research.
  • Evaluate data sets to determine suitability for applying machine learning models and techniques.
  • Guide and assist with the collection and curation of clinical datasets.
  • Assist in the implementation and evaluation of machine learning algorithms.
  • Develop and maintain continuous integration and continuous deployment pipelines for automated training and deployment of machine learning models.
  • Manage machine learning infrastructure and optimizes resource utilization.
  • Implement monitoring solutions for model performance and health.
  • Lead small projects or initiatives related to machine learning operations.
  • Work collaboratively with data scientists to optimize model performance.
  • Advocate for best practices in machine learning operations within the team.
  • Participate in maintaining a safe work environment through adherence to policies and procedures relative to safety, fire prevention, hazard communications, security, equipment use and maintenance, infection control and vehicle safety.
  • Perform all other duties that may be assigned in the best interest of the Shirley Ryan AbilityLab.

Reporting Relationships:
  • Reports directly to a designed engineering manager.

Knowledge, Skills & Abilities Required
  • A professional level of knowledge in computer science, engineering or a related field, typically acquired through a Bachelor's Degree.
  • Minimum of 3 years of related experience working on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.
  • Continues to develop professional expertise, applying institute policies and procedures to resolve a variety of issues.
  • Proficient in using version control systems, especially Git.
  • Able to manage branches, handle merge conflicts, and understand the importance of commit history and reverting changes.
  • Strong skills in Python and experience with machine learning frameworks.
  • Working proficiency with Linux and Windows operating systems.
  • Familiarity with tools for deploying machine learning pipelines (eg Docker, Kubenates).
  • Familiarity with cloud based production pipelines offered by leading manufacturers (eg Microsoft Azure, Amazon Web Services, Google Cloud, etc).
  • Ability to work independently on assigned tasks and lead small projects. Excellent problem-solving skills and the ability to troubleshoot complex issues.
  • Good communication skills in both written and verbal forms. Able to work with research subjects and clinicians in a clinical setting.
  • Able to take direction and complete defined tasks in addition to anticipating and executing follow-up actions.
  • Able to perform assignments by receiving general instructions on routine work, and detailed instructions on new projects or assignments.
  • Able to exercise judgment within defined procedures and practices to determine appropriate action.
  • Able to build stable working relationships with multidisciplinary team.

Working Conditions
  • Normal office environment with little or no exposure to dust or extreme temperature.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified.
Pay and Benefits*:
Pay Range:
$72,600.00 - $120,600.00
Benefits:
Shirley Ryan AbilityLab offers a comprehensive benefits program that is competitive with our industry peers in our geographic locations: https://www.sralab.org/benefits
*Benefits and benefits' eligibility can vary by position. Actual compensation will be determined by equity and qualifications of the role.
Equal Employment Opportunity Employer
Shirley Ryan AbilityLab is an Equal Employment Opportunity Employer. All applicants will be afforded equal employment opportunity without discrimination because of race, color, religion, sex, marital status, national origin or ancestry, citizenship status, age, disability, sexual orientation, gender identity, genetic information, military status, order of protection status, unfavorable discharge from military service, or any other characteristics protected by law.
EEO is the Law | EEO is the Law - Know Your Rights | View our Full Policy
Shirley Ryan AbilityLab is an Affirmative Action Employer as required by law.

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