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Python Ml Developer Jobs in Saint Charles, IL (NOW HIRING)

Role Overview We are seeking a talented Generative AI Engineer with strong expertise in Python and modern AI/ML frameworks to design, build, and deploy Generative AI-powered solutions . The ideal ...

AI Engineer - United States

Chicago, IL ยท Remote

$50K - $60K/yr

About the job We are seeking a highly skilled and experienced AI/ML Developer to join our team. The ... Expose AI/LLM functionality written in Python using Java services, leverage multi-threading ...

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 ...

AWS Machine Learning Engineer

Chicago, IL ยท On-site

$72K - $108K/yr

Technical Skills: * 5+ years in software/ML engineering, with strong hands-on experience in Python. * 2+ years of production experience with Amazon SageMaker for training and/or inference deployments.

Senior Staff MLOps Engineer

Chicago, IL ยท 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.

Senior Software Engineer

Chicago, IL ยท Hybrid

$180K - $200K/yr

Collaborate with ML engineers and DevOps teams * Mentor junior engineers and establish best ... Proficiency in backend development (Java, Python, or similar) * Exposure to frontend frameworks is ...

Machine Learning Engineer

Chicago, IL ยท On-site

$105K - $139K/yr

Architecting a highly available, secure, cloud/on-prem hybrid ML infrastructure. Lead ... Deep expertise in Python; proficiency in one systems language (C++/Go/Java). Strong working ...

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Python Ml Developer information

See Saint Charles, IL salary details

$12

$57

$84

How much do python ml developer jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for python ml developer in Saint Charles, IL is $57.34, according to ZipRecruiter salary data. Most workers in this role earn between $47.26 and $65.14 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 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 cities near Saint Charles, IL are hiring for Python Ml Developer jobs? Cities near Saint Charles, IL with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Saint Charles, IL as of June 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $119,271 per year, or $57.3 per hour.

Full-time

Posted 10 days ago


Job description

Overview:
****************Local Preferred***********************
Role Overview
We are seeking a talented Generative AI Engineer with strong expertise in Python and modern AI/ML frameworks to design, build, and deploy Generative AI-powered solutions. The ideal candidate will work on developing large language model (LLM) integrations, fine-tuning, and productionizing AI applications to accelerate digital innovation.
Key Responsibilities
  • Design, develop, and optimize Generative AI models for text, image, and multimodal use cases.
  • Build and fine-tune LLMs, Diffusion, and Transformer-based models using Python.
  • Integrate AI solutions into scalable production systems with APIs and cloud services.
  • Implement MLOps practices for model deployment, monitoring, and lifecycle management.
  • Collaborate with product, data, and engineering teams to deliver AI prototypes into production.
  • Work with vector databases (Pinecone, FAISS, Weaviate, etc.) for retrieval-augmented generation (RAG).
  • Leverage cloud platforms (AWS, Azure, GCP) for scalable AI infrastructure.
  • Stay up to date with emerging AI research and proactively apply new techniques.
Required Skills & Experience
  • 5-8 years of Python development experience.
  • Hands-on expertise in Generative AI, LLMs, Transformers, or Diffusion Models.
  • Strong background in PyTorch, TensorFlow, Hugging Face Transformers.
  • Knowledge of fine-tuning, prompt engineering, embeddings, and model optimization.
  • Experience deploying models using AWS Sagemaker, GCP Vertex AI, or Azure ML.
  • Familiarity with API development (FastAPI/Flask/Django) for AI service integration.
  • Solid understanding of data preprocessing, pipelines, and system design.
Nice to Have
  • Experience with LangChain, LlamaIndex, or multi-agent AI frameworks.
  • Knowledge of Docker, Kubernetes (EKS/GKE/AKS) for AI deployments.
  • Familiarity with observability and monitoring tools for AI workloads.
  • Exposure to reinforcement learning, conversational AI, or multimodal AI.
Soft Skills
  • Strong analytical and problem-solving mindset.
  • Excellent communication and cross-functional collaboration skills.
  • Ability to work independently and drive AI projects from POC to production.
  • Passion for continuous learning and exploring cutting-edge AI technologies.