Python Architect

• Design and develop reusable, modular Python libraries to support AI/ML workflows for Test automation on InFlight Entertainment system using Hardware Labs.
  
• Collaborate with the AI Architect to build scalable infrastructure for deploying transformer-based models and LLMs for IFE.
  
• Architect microservices-based Python applications for AI services.
  
• Optimize Python codebases for performance, scalability, and maintainability.
  
• Implement robust data processing pipelines and orchestration frameworks.
  
• Experience in hardware lab for various configurations is a plus
  
• Ensure seamless integration of Python components with cloud platforms (AWS/Azure).
  
• Containerize applications using Docker and orchestrate with Kubernetes in a plus.
  
• Design and maintain CI/CD pipelines using GitLab CI/CD and other tools.
  
• Integrate testing frameworks and enforce Agile development practices.
  
• Apply DevOps tools and automation frameworks to streamline deployment and operations.
  
• Establish coding standards, best practices, and documentation for Python development.
  
• Conduct code reviews and mentor Python developers and AI engineers.
  
• Develop and maintain Python-based automation scripts using Appium for intelligent testing.
  
• Evaluate and integrate third-party Python packages and tools to accelerate development.
  
• Collaborate with cross-functional teams to align Python architecture with business and technical goals.
  

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
  
• 8+ years of experience in Python development, with 3+ years in architectural roles.
  
• Strong expertise in building scalable Python applications and libraries.
  
• Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
  
• Proficiency in microservices architecture and cloud-native development.
  
• Hands-on experience with Docker, Kubernetes, and cloud platforms (AWS, Azure).
  
• Solid understanding of CI/CD pipelines, GitLab CI/CD, and DevOps automation.
  
• Familiarity with Agile methodologies and testing frameworks.
  

Preferred Qualifications:

• Experience supporting LLM-based systems and AI infrastructure.
  
• Knowledge of distributed computing and parallel processing in Python.
  
• Exposure to MLOps tools and practices.
  
• Certifications in Python, cloud, or DevOps technologies.
  
• Experience in embedded software development is a strong plus.