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Python Ml Developer Jobs in Illinois (NOW HIRING)

Tror AI for everyone

Senior AI Developer

Mettawa, IL · On-site

$62.50 - $82.50/hr

Senior AI Developer Location: Mettawa, IL (Onsite) Design, build, and deploy cutting-edge AI ... Expert-level proficiency in Python and related AI/ML frameworks (e.g., PyTorch, TensorFlow ...

International Motors, LLC

Junior AI/ML Engineer

Lisle, IL · On-site

$76K - $114K/yr

Position Overview The Junior AI/ML Engineer supports the development, deployment, and optimization ... Experience with Python and data science libraries (e.g., Pandas, Scikit-learn) * Familiarity with ...

New

Whiztek Corp

Gen AI Engineer

Chicago, IL · On-site

AI/ML Knowledge: Strong foundation in AI, deep learning, and machine learning principles. * Programming Skills: Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API. * Deep ...

Grindr

Senior Staff MLOps Engineer

Chicago, IL · On-site

$190K - $315K/yr

... ML workflows. * Excellent engineering fundamentals: Python, SQL, bash, Git. * Experience with big ... data and distributed compute: Snowflake, Spark/pySpark, Airflow, Kubernetes, Docker, Helm.

VOLT

AI Technical Architect

Chicago, IL · On-site

$68.25 - $82.50/hr

We're seeking a senior AI/ML Engineer with minimum 9-10 yrs experience who can serve as a Technical ... Strong programming skills in languages such as Python, SQL/NoSQL etc. * Build analytical approach ...

Adidev Technologies Inc

AI/ML

Chicago, IL · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks ...

Adidev Technologies Inc

AI/ML

Des Plaines, IL · On-site

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks

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Python Ml Developer information

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

What are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
What are popular job titles related to Python Ml Developer jobs in Illinois? For Python Ml Developer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Illinois look for? The top searched job categories for Python Ml Developer jobs in Illinois are:
What cities in Illinois are hiring for Python Ml Developer jobs? Cities in Illinois with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Illinois as of July 2026, with employment types broken down into 88% Full Time, 2% Part Time, 1% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.
DevOps Engineer with Python

DevOps Engineer with Python

Cognizant Technology Solutions

Warrenville, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

40th of 58 rated business consultants

Job description

JD: AI/ML Expertise: Strong foundation in artificial intelligence and machine learning, with hands-on experience building AI agents or models (e.g. NLP assistants, predictive algorithms) and deploying them in production.
Automation Proficiency: Proven ability to design and implement automation solutions - adept in scripting and programming (Python or similar), API integration, and using automation frameworks or tools to connect systems and streamline processes.
AI Integration: Experience integrating AI components into existing software or IT environments, ensuring compatibility and robust performance in real-world scenarios.
Security Awareness: Solid understanding of AI security and data privacy best practices. Able to incorporate encryption, data protection, and ethical AI considerations into development and deployment.
Independent Problem-Solving: Self-driven and resourceful, capable of working autonomously to troubleshoot complex problems and drive projects to completion without close supervision.
Collaboration & Communication: Excellent teamwork skills with the ability to communicate effectively across technical and non-technical teams, ensuring alignment and shared understanding of project goals.
Preferred Skills & Experience:
Telecom Industry Knowledge: Familiarity with telecom networks or IMS (IP Multimedia Subsystem) environments is a plus. Experience with Nokia IMS network elements or similar telecom systems is advantageous.
Domain Experience: Previous work in telecommunications, network automation, or related industry experience can be beneficial. Experience with Redhat openshift deployments and automation is a plus.
Continuous Learning: Demonstrated enthusiasm for staying up-to-date with the latest AI/ML technologies, automation tools, and industry best practices.
About Cognizant's IoT Practice:
Intelligent, IoT-enabled products will soon result in the proliferation of data and disrupt virtually all industries. To be successful, both large and small companies must leverage IoT capabilities by designing modern products that fundamentally connect people with processes. Within Cognizant IOT, we engineer industry-aligned, IoT-enabled products that merge industry needs with human drivers. Our intelligent products will revolutionize experiences and result in exciting, transformative outcomes. Without human-centered thinking, connected products are just standalone things-but with it, our modern connected products facilitate a unified way of life enjoyed by all.
Salary and Other Compensation:
  • The annual salary for this position is between $74,000 - $84,000 + Bonus depending on experience and other qualifications of the successful candidate.
    This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
    Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan
    Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
  • Applications will be accepted until May 28th , 2026
  • LI#- #LI-SC6

About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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