Overview
Hybrid
$Depends on Experience
Accepts corp to corp applications
Contract - W2
Skills
Azure
Python
AI/ML
Flask or FastAPI
cloud platforms (AWS
GCP)
Job Details
- 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, Google Cloud Platform).
- 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, Google Cloud Platform 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.