AWTG is looking for a Python Developer

AWTG is looking for a Python Developer

Studio: AWTG

Job Opening: Python Developer

Location: London, United Kingdom

Type: Full-Time

Responsibilities:

  • Design, develop, and maintain high-quality software applications using Python and FastAPI.
  • Implement and manage CI/CD pipelines to ensure smooth deployment and integration processes.
  • Utilize Docker for containerization and orchestration of applications.
  • Deploy, monitor, and manage applications on cloud platforms such as AWS, GCP, and Azure.
  • Develop and fine-tune machine learning models, with a focus on state-of-the-art techniques and LLMs.
  • Implement Retrieval-Augmented Generation (RAG) for enhanced information retrieval and processing.
  • Collaborate with data scientists and other team members to integrate machine learning models into production systems.
  • Stay up-to-date with the latest industry trends and advancements in machine learning and AI technologies.
  • Perform code reviews, mentor junior developers, and contribute to the overall improvement of development processes.
  • Additional duties as needed.

Qualifications & Skills:

  • Experience with additional frameworks and libraries such as PyTorch or TensorFlow.
  • Knowledge of data engineering and ETL processes.
  • Experience with version control systems, particularly Git.
  • Knowledge of telecommunications technologies and industry standards.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 5+ years of professional experience in Python development.
  • Strong proficiency in FastAPI or similar frameworks.
  • Extensive experience with CI/CD pipelines, deployment strategies, and tools.
  • Hands-on experience with Docker and container orchestration.
  • Proficiency in deploying and managing applications on AWS, GCP, and Azure.
  • Solid understanding of machine learning concepts and experience in fine-tuning models.
  • Knowledge of large language models (LLMs), including practical applications of RAG.
  • Familiarity with the latest state-of-the-art models in machine learning and AI.
  • Strong problem-solving skills and the ability to work independently and as part of a team.
  • Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders.

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