Soma Capital Portfolio Jobs

Senior Python Developer - LLM

Remotebase

Remotebase

Software Engineering
Pakistan
Posted on Jul 22, 2024
As a Senior Python Developer, you will play a crucial role in maintaining and enhancing our open-source LLM model. You will work closely with a team of talented developers and researchers to ensure the model remains cutting-edge and accessible to the community. Your contributions will help drive the development and adoption of our LLM project.

Key Responsibilities:

  • Contribute to the development, maintenance, and optimization of our open-source LLM model
  • Collaborate with the community, addressing issues, reviewing pull requests, and providing guidance
  • Implement new features and improvements based on community feedback and project goals
  • Ensure code quality, performance, and scalability of the LLM model
  • Stay up-to-date with the latest advancements in AI, machine learning, and natural language processing
  • Mentor junior developers and provide technical leadership within the team
  • Document code, processes, and contribute to project documentation


Requirements

  • Proven experience as a Python Developer with a strong understanding of Python's ecosystem
  • Significant contributions to open-source projects, preferably in the AI/ML space
  • Experience with large language models (LLMs) and natural language processing (NLP) techniques
  • Solid understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch)
  • Familiarity with version control systems (e.g., Git) and collaborative development workflows
  • Strong problem-solving skills and the ability to work independently and collaboratively
  • Excellent communication skills and the ability to engage with the community
  • A passion for open-source development and a commitment to advancing AI technology


Preferred Qualifications:

  • Experience with deploying and maintaining large-scale machine learning models
  • Knowledge of data engineering and data pipeline management
  • Familiarity with cloud platforms (e.g., AWS, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes)


Benefits

  • Fully remote with office optional. You decide when you would like to work from home and when from the office
  • Flexible timings. You decide your work scheduled
  • Market competitive compensation (in $$)
  • Insane learning and growth