Python Architect

4 days ago

Pune, Maharashtra, India Larsen & Toubro (L&T) Full time ₹ 12,00,000 - ₹ 36,00,000 per year
  • 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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