

PEOPLE FORCE CONSULTING INC
Python AI Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python AI Developer with 8+ years of experience, offering a hybrid contract in Chicago, IL. Pay rate is competitive. Key skills include Python, ML libraries, RESTful APIs, and cloud services (AWS, Azure, GCP).
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 20, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Chicago, IL
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Docker #GCP (Google Cloud Platform) #Deployment #Scala #Python #Kubernetes #Azure #Data Science #Version Control #Data Processing #FastAPI #Security #API (Application Programming Interface) #AWS SageMaker #Libraries #PyTorch #Flask #NLP (Natural Language Processing) #GIT #TensorFlow #ML (Machine Learning) #Plotly #Cloud #SageMaker #AWS (Amazon Web Services) #Matplotlib #Visualization
Role description
• Role - Python AI Developer
• Location: Hybrid
• location: Chicago, IL 2 days/Week
Build intelligent, scalable AI solutions using Python, integrating APIs and cloud technologies to deliver impactful machine learning applications.
Responsibilities: -
• Design, develop, and deploy AI/ML models and algorithms for real-world applications.
• Implement robust Python-based solutions for data processing, model training, and inference.
• Build and consume RESTful APIs using frameworks like Flask or FastAPI for seamless integration.
• Optimize ML workflows for performance and scalability on cloud platforms (AWS, Azure, GCP).
• Collaborate with data scientists, engineers, and product teams to translate business requirements into technical solutions.
• Ensure code quality, maintainability, and adherence to software engineering best practices.
• Utilize containerization tools (Docker, Kubernetes) for deployment and orchestration.
• Monitor and troubleshoot production ML systems for reliability and efficiency.
Experience: - 8+ Years
Location: - Chicago, IL
Educational Qualifications: -
• Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
• Technical certification in multiple technologies is desirable.
Mandatory Skills
• Software Strong proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch).
• Experience in building and integrating RESTful APIs using Flask or FastAPI.
• Hands-on experience with cloud services (AWS SageMaker, Azure ML, GCP AI Platform).
• Solid understanding of software engineering principles, version control (Git), and CI/CD pipelines.
• Knowledge of data structures, algorithms, and performance optimization.
Good to have skills: -
• Familiarity with containerization (Docker, Kubernetes).
• Exposure to MLOps practices and tools.
• Experience with data visualization libraries (Matplotlib, Seaborn, Plotly).
• Knowledge of NLP, Computer Vision, or Generative AI frameworks.
• Understanding of secure coding practices and API security.
• Contributions to open-source AI/ML projects.
• Role - Python AI Developer
• Location: Hybrid
• location: Chicago, IL 2 days/Week
Build intelligent, scalable AI solutions using Python, integrating APIs and cloud technologies to deliver impactful machine learning applications.
Responsibilities: -
• Design, develop, and deploy AI/ML models and algorithms for real-world applications.
• Implement robust Python-based solutions for data processing, model training, and inference.
• Build and consume RESTful APIs using frameworks like Flask or FastAPI for seamless integration.
• Optimize ML workflows for performance and scalability on cloud platforms (AWS, Azure, GCP).
• Collaborate with data scientists, engineers, and product teams to translate business requirements into technical solutions.
• Ensure code quality, maintainability, and adherence to software engineering best practices.
• Utilize containerization tools (Docker, Kubernetes) for deployment and orchestration.
• Monitor and troubleshoot production ML systems for reliability and efficiency.
Experience: - 8+ Years
Location: - Chicago, IL
Educational Qualifications: -
• Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
• Technical certification in multiple technologies is desirable.
Mandatory Skills
• Software Strong proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch).
• Experience in building and integrating RESTful APIs using Flask or FastAPI.
• Hands-on experience with cloud services (AWS SageMaker, Azure ML, GCP AI Platform).
• Solid understanding of software engineering principles, version control (Git), and CI/CD pipelines.
• Knowledge of data structures, algorithms, and performance optimization.
Good to have skills: -
• Familiarity with containerization (Docker, Kubernetes).
• Exposure to MLOps practices and tools.
• Experience with data visualization libraries (Matplotlib, Seaborn, Plotly).
• Knowledge of NLP, Computer Vision, or Generative AI frameworks.
• Understanding of secure coding practices and API security.
• Contributions to open-source AI/ML projects.






