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Python Ml Developer Jobs in Burbank, IL (NOW HIRING)

Senior AI/ML Solutions Engineer

Chicago, IL · On-site

$57 - $73.50/hr

Summary The Senior AI/ML Solutions Engineer supports the full lifecycle of AI solutions-from ... Python and modern ML frameworks ( TensorFlow , PyTorch ). * Hands-on experience with cloud ...

Senior Research Engineer - ML Systems Employment Type: Full-time Company: Permute (www.permute.ai ... Write clean, maintainable Python and PyTorch systems that integrate with Permute's broader platform

... and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and ... Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and ...

Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations. * Hands-on production experience with LLMs, RAG, and prompt engineering . * Experience with multi-agent ...

... and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and ... Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and ...

... and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and ... Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and ...

Sr. Software Engineer

Chicago, IL · On-site

$130K - $140K/yr

Strong software-engineering experience in a modern backend language such as Python, Java, Scala, Go or C++. * Experience designing distributed systems, cloud services, data platforms or ML ...

Showing results 41-60

Python Ml Developer information

See Burbank, IL salary details

$13

$59

$88

How much do python ml developer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for python ml developer in Burbank, IL is $59.87, according to ZipRecruiter salary data. Most workers in this role earn between $49.33 and $67.98 per hour, depending on experience, location, and employer.

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 job categories do people searching Python Ml Developer jobs in Burbank, IL look for?

The top searched job categories for Python Ml Developer jobs in Burbank, IL are:

What cities near Burbank, IL are hiring for Python Ml Developer jobs?

Cities near Burbank, IL with the most Python Ml Developer job openings:

Infographic showing various Python Ml Developer job openings in Burbank, IL as of August 2026, with employment types broken down into 1% Internship, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $124,521 per year, or $59.9 per hour.

Senior AI/ML Solutions Engineer

Chicago, IL • On-site

James Hardie
Building Materials and Garden Equipment Dealers • 1 - 5K employees

$57 - $73.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


James Hardie rating

8.3

Company rating: 8.3 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

65th of 547 rated manufacturers


Job description

James Hardie is the industry leader in exterior home and outdoor living solutions, with a portfolio that includes fiber cement, fiber gypsum, composite and PVC decking and railing products. Our family of trusted brands includes Hardie®, TimberTech®, AZEK® Exteriors, Versatex®, fermacell®, and StruXure®.
With over 8,000 employees and our U.S. operating entities headquartered in Chicago, we boast 31 operating sites, 6 recycling facilities, and 6 research and development centers globally. Powered by a dynamic workforce, we're united by our purpose of Building a Better Future for All™ through sustainable innovation, a Zero Harm culture, and a commitment to empowering our people and communities.
For more information, visit www.jameshardie.com.
Summary
The Senior AI/ML Solutions Engineer supports the full lifecycle of AI solutions-from ideation to productionization-covering both Generative AI and Predictive AI use cases. This role focuses on implementing AI-powered solutions, integrating them into enterprise workflows, and ensuring operational reliability. This role reports directly to the Sr. Director of AI and supports AI solution engineering leader to implement enterprise AI solutions.
What You'll Do:
  • Lead major AI capabilities throughout the end-to-end AI solution lifecycle-from ideation and prototyping through deployment and operationalization.
  • Design and implement solutions leveraging Generative AI (LLMs, text generation, RAG pipelines) and Predictive AI (forecasting, anomaly detection, classification, computer vision).
  • Translate business requirements into scalable technical capabilities, ensuring alignment with enterprise patterns and standards.
  • Develop APIs, microservices, and workflows to embed AI capabilities into production systems.
  • Work with data engineering teams to ensure robust data pipelines and features for AI models.
  • Optimize AI solutions for performance, cost, monitoring, and reliability in production environments.
  • Collaborate with business partners, engineering teams, and data scientists to iterate on high value use cases.
  • Communicate technical concepts to leadership and non-technical stakeholders.
  • Participate in AI solution architecture design and contribute to cross functional architecture decisions.
  • Establish and follow best practices for model deployment, versioning, testing, and observability.
  • Contribute to ML Ops pipelines, CI/CD automation, and containerized deployments (Kubernetes, Docker).
  • Perform production support and troubleshooting for deployed AI services.
  • Mentor junior AI engineers and contribute to team knowledge sharing.
  • Support AI solution engineering leaders in establishing engineering standards and reusable patterns.

What You'll Bring:
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field required.
  • 6-8 years of experience in AI/ML engineering, data science, or software development (between junior 4+ and principal 8+).
  • Proficiency in Python and modern ML frameworks (TensorFlow, PyTorch).
  • Hands-on experience with cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).
  • Experience building LLM based systems, RAG pipelines, or generative AI applications.
  • Understanding of data pipelines, APIs, microservices, and distributed systems.
  • Experience with ML Ops tools and practices (model registries, CI/CD, observability).
  • Strong problem solving skills with the ability to troubleshoot complex systems.
  • Excellent written and verbal communication skills.
  • Curiosity and commitment to staying current with emerging AI technologies.

What You'll Receive:
As of the date of this posting, a good faith estimate of the current pay scale for this position is $106,700K-$133,400K. Placement in the range depends on several factors such as experience, skills, geography and internal equity and may change over time. This position qualifies for benefits and you will be eligible to participate in a bonus plan.
At James Hardie, we recognize that our success depends on our people. We've worked hard to build a generous and competitive benefits program that demonstrates our commitment to our employees.
  • Compensation: competitive salary and bonus eligibility
  • Insurance: day-one health coverage medical, dental, vision, life insurance
  • Paid Time Off: vacation and company holidays
  • Retirement: 401(k) with 6% match
  • Investments: Employee Stock Purchase plan (ESP)
  • Work-Life Balance: parental leave, wellness programs
  • Purpose. Impact. Community: Sustainability Initiatives | James Hardie

#LI-DW1
James Hardie Building Products Inc. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, gender, sex, age, national origin, religion, sexual orientation, gender identity/expression, genetic information, veteran's status, marital status, pregnancy, disability, or any other basis protected by law.
James Hardie will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies.
The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.

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