AI Infrastructure Engineer (Python Specialist) - Bangalore

apartmentstreamingo.ai placeBangalore calendar_month 

Job Description

Job Description: We are seeking a skilled and experienced Python Developer to join our

dynamic team. The ideal candidate will have a strong background in software development

with a focus on Python programming, with 3 to 5 years of relevant experience.

Important Skills And Experience Requirements
  • 3 to 5 years of experience in large software development projects.
  • Proficiency in Python programming language.
  • Experience with asynchronous programming in Python.
  • Experience with Celery, Redis, RabbitMQ and MongoDB
  • Strong understanding of Shell scripting.
  • Strong understanding of data structures and algorithms.
  • Solid knowledge of Linux operating systems and fundamentals.
  • Experience with Docker and Kubernetes for containerization and orchestration.
  • Basic understanding with deep learning frameworks like PyTorch and TensorFlow.
  • Exposure to cloud computing platforms such as Google Cloud.
  • Familiarity with version control systems like Git.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work independently and in a team environment.
  • Good communication skills and ability to collaborate effectively with colleagues.
Responsibilities
  • Develop new features and maintain existing systems that have been developed to perform regular fizzing of videos from the customer, ensuring timely and accurate processing.
  • Update the fizzing status and results to the team, maintaining clear communication throughout the process.
  • Continuously improve scripts used for fizzing, ensuring they are up-to-date and functional.
  • Debug any issues encountered during the execution of fizzing scripts, resolving them promptly to minimize delay.
  • Report any issues or requirements related to GCP infrastructure, collaborating with the appropriate teams to address them effectively.
  • Continuously optimize video processing workflows for improved efficiency and scalability on GCP and on Prem systems.
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