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Python Ml Developer Jobs in Illinois (NOW HIRING)

Job Title: GCP AI/ML Engineer Duration: 6 months Contract to hire Location: Chicago is the ... Orchestrate ML workflows using Python, Vertex AI, BigQuery, and Cloud Storage. * Ensure pipelines ...

Job Title: GCP AI/ML Engineer Duration: 6 months Contract to hire Location: Chicago is the ... Orchestrate ML workflows using Python, Vertex AI, BigQuery, and Cloud Storage. * Ensure pipelines ...

Position: AI/ML Engineer Duration: 12 months Location: Chicago, IL An AI/ML Engineer designs ... Proficiency in Python, Java, or R, Golang * Machine Learning Frameworks : Expertise in tools and ...

Lead ML Engineer

Deerfield, IL

$104K - $137K/yr

Python (required); SQL; optional Java/Scala * ML/MLOps: MLflow (or equivalent), model registry ... * DevOps: Git, CI/CD, Docker; Kubernetes, Terraform (optional) * Cloud: Azure, logging/monitoring

Senior AI/ML Engineer

Chicago, IL · Hybrid

$107K - $147K/yr

Senior AI/ML Engineer Client: Global advertising company Location: Chicago or NYC; 3 days a week ... Strong programming skills in languages such as Python, SQL/NoSQL etc. * Build analytical approach ...

Senior AI/ML Engineer

Springfield, IL · On-site +1

$103K - $142K/yr

We own a modern full-stack architecture including TypeScript/React, Python, GraphQL, Golang , and ... We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science ...

Senior AI/ML Engineer

Chicago, IL · On-site

$107K - $147K/yr

Senior AI/ML Engineer Client: Global advertising company Location: Chicago or NYC; 3 days a week ... Strong programming skills in languages such as Python, SQL/NoSQL etc. * Build analytical approach ...

Senior AI/ML Engineer

Chicago, IL · Hybrid

$107K - $147K/yr

Senior AI/ML Engineer Client: Global advertising company Location: Chicago or NYC; 3 days a week ... Strong programming skills in languages such as Python, SQL/NoSQL etc. * Build analytical approach ...

Senior AI/ML Engineer

Chicago, IL · On-site

$107K - $147K/yr

Senior AI/ML Engineer Client: Global advertising company Location: Chicago or NYC; 3 days a week ... Strong programming skills in languages such as Python, SQL/NoSQL etc. * Build analytical approach ...

Python Engineer An established healthcare company is looking for a driven Python Engineer to join ... AWS SageMaker experience will be a big plus as they're in the process of bringing ML development in ...

Sr. AI/ML Engineer

Deerfield, IL · On-site

$106K - $145K/yr

Strong Python engineering background with ML/DL frameworks: TensorFlow, PyTorch, Keras, OpenCV * Proven experience in Computer Vision tasks, including object detection, segmentation, and OCR

Senior ML Engineer

Chicago, IL · Remote

$180K - $240K/yr

... ML team building production-grade AI voice agents used by enterprise customers like AAA and ... You're an applied AI engineer who thrives in startup environments, writes clean Python, and can ...

Senior ML Engineer

Chicago, IL · On-site +1

$107K - $147K/yr

Senior ML Engineer About Invoca Invoca is an AI-powered revenue execution platform that brings ... Advanced Python and deep learning proficiency (PyTorch, HuggingFace Transformers, spaCy)

AI Developer

Mettawa, IL · On-site

$80/hr

Senior AI Developer Location: Mettawa, IL (Onsite) Rate: $80/hr on C2C Design, build, and deploy ... Expert-level proficiency in Python and related AI/ML frameworks (e.g., PyTorch, TensorFlow ...

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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.

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.

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:
Infographic showing various Python Ml Developer job openings in Illinois as of June 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Gen AI Developer (Python)

Purple Drive Technologies

Chicago, IL • On-site

$51.75 - $71.25/hr

Full-time

Posted 8 days ago


Job description

Overview:
Title: Gen AI Developer (Python)
Location: Chicago, IL (Onsite)
Type: Contract
Job Overview
We are seeking a talented Gen AI Developer (Python) to join our onsite team in Chicago, IL. The ideal candidate will have hands-on expertise in developing and deploying Generative AI solutions, leveraging modern frameworks and Python programming to drive innovation and deliver impactful business outcomes.
Key Responsibilities
  • Design, develop, and implement Generative AI models and applications using Python.
  • Work with large datasets to build, fine-tune, and optimize AI/ML models.
  • Collaborate with stakeholders to translate business requirements into technical deliverables.
  • Develop scalable, reusable, and efficient code following industry best practices.
  • Integrate AI models into production systems with a focus on performance, scalability, and reliability.
  • Stay current with emerging AI/ML and Generative AI tools, techniques, and frameworks.
Required Skills
  • Strong Python development expertise.
  • Practical experience with Generative AI frameworks (e.g., LangChain, Hugging Face, PyTorch, TensorFlow).
  • Knowledge of ML/LLM lifecycle - from data preprocessing and training to deployment and monitoring.
  • Solid problem-solving, analytical, and debugging skills.
  • Excellent communication and teamwork skills.
Preferred Skills
  • Experience with cloud platforms (AWS, Azure, or GCP) for AI/ML deployment.
  • Familiarity with LLM fine-tuning and prompt engineering.
  • Exposure to API design, development, and integration.