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Python Ml Developer Jobs in Illinois (NOW HIRING)

Whiztek Corp

Gen AI Engineer (W2)

Schaumburg, IL · On-site

Engage in full-stack development, with a focus on Python for backend services and React for ... Hands-on experience with Google Cloud Platform AI/ML services, including BigQuery, Google SQL and ...

Tata Consultancy Service Limited

Applied AI Architect

Chicago, IL · On-site

$120K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Must Have Technical/Functional Skills • Python engineering • Production AI/ML coding • Databricks • MLflow • Azure AI Foundry • RAG architecture • LLM application architecture • ...

Bank of America

Data Engineer - Python/AI

Addison, IL · On-site

$114K - $137K/yr

... development in Python * 3+ years of handson AI/ML experience , building and deploying machine ... Handson experience with CI/CD pipelines , automation, and DevOps practices for ML and application ...

New

Vizient

Senior Software Engineer

Chicago, IL

$102K - $179K/yr

... improve developer productivity and operational consistency across the AI/ML team. * Evaluate ... Strong Python development experience with expertise building production backend services, APIs ...

Grindr

Senior Staff MLOps Engineer

Chicago, IL · On-site

$190K - $315K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

Northern Base

Applied AI Architect

Chicago, IL · On-site

$142K - $150K/yr

Databricks, MLflow, Unity Catalog, Delta Lake, model serving; production Python AI/ML engineering; RAG and LLM application architecture; multi-agent workflows; MCP/tool calling; LangGraph/Semantic ...

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in Illinois

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 the key skills and qualifications needed to thrive as a Python ML Developer?

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 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.

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.

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 August 2026, with employment types broken down into 1% Internship, 70% Full Time, 19% Part Time, and 10% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Gen AI Engineer (W2)

Whiztek Corp

Schaumburg, IL • On-site

Other

Posted 8 days ago

Job description

Job Description:
Role: Agentic AI/AI Engineer - Generative AI & Machine Learning
Location:  Schaumburg, IL - Hybrid - 3days/week onsite
Duration: Long Term Contract - W2 only
 
Job Summary:
We are seeking a highly motivated and adaptable AI Engineer to join our innovative team. The ideal candidate will have a strong background in both Generative AI and traditional Machine Learning, with a proven ability to work on existing applications and develop new solutions. You will play a key role in migrating and enhancing our AI-driven projects, leveraging Large Language Models (LLMs), and building intelligent agents. This is an exciting opportunity for a forward-thinking engineer who is passionate about experimenting with cutting-edge technologies and evolving in a fast-paced environment.
 
Key Responsibilities:
  • Develop, maintain, and enhance existing applications that utilize both Generative AI and traditional Machine Learning.
  • Work extensively with Large Language Models (LLMs) to build and refine AI-powered features.
  • Design, create, and deploy intelligent agents to automate and optimize processes.
  • Collaborate with stakeholders to understand and translate business requirements into technical specifications for AI engineering projects.
  • Conduct experiments, implement new technologies, and contribute to the rapid evolution of our AI capabilities.
  • Lead the migration of existing projects, including those with agents and LLMs, to our Google Cloud Platform (Google Cloud Platform) environment.
  • Engage in full-stack development, with a focus on Python for backend services and React for frontend interfaces.
  • Perform data analysis using SQL to query and manipulate data from MS SQL Server, MySQL, and other relational databases.
Required Qualifications:
  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • A minimum of 2-3 years of professional experience in an AI or Machine Learning engineering role.
  • Experience with Python is a must.
  • Demonstrated experience with concepts such as MCP, RAG, Semantic search, Generative AI, LLMs, and building agent-based systems.
  • Ability to stay up to date with new and upcoming technologies around AI development (ex: Agentic RAG)
  • Strong proficiency in Python for backend development and machine learning.
  • Solid experience with React for frontend development.
  • Expertise in SQL and experience working with relational databases such as MS SQL Server and MySQL.
  • Hands-on experience with Google Cloud Platform AI/ML services, including BigQuery, Google SQL and other technologies and APIs within Google Cloud Platform.
  • Ability to quickly grasp new requirements, experiment with new technologies, and adapt to a rapidly changing environment.
  • Experience in taking over existing AI/ML applications from other teams.
  • Estimate at a high-level cost of usage in Google Cloud Platform for applications hosted/deployed  
  • Familiar with functional and non-functional testing of AI/ML applications and operationalizing it in production 
Other Qualifications:
  • Familiarity with Amazon Web Services (AWS), LLM models trending in the industry.
  • A portfolio of projects demonstrating your expertise in AI and full-stack development.
 

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