Python Architect
2 weeks ago
- 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.
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