Python AI Developer

Qualifications

• Experience: - 8+ Years
• Engineering Degree – BE/ME/BTech/MTech/BSc/MSc
• 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

Responsibilities

• Build intelligent, scalable AI solutions using Python, integrating APIs and cloud technologies to deliver impactful machine learning applications
• 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

Full 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.