Key Responsibilities:

• Python Development: Write clean, scalable, and efficient Python code for AI/ML applications.
• AI/ML Models: Develop and implement AI solutions using Python libraries such as NumPy, Pandas, and machine learning frameworks like PyTorch, TensorFlow, and scikit-learn.
• Large Language Models (LLM): Build and fine-tune LLMs (e.g., GPT, BERT) for a variety of use cases.
• Package & Version Management: Manage Python environments and dependencies using tools such as Conda, Pip, and Virtualenv.
• Collaboration: Work closely with cross-functional teams to integrate models and data pipelines into production systems.
• Version Control & CI/CD: Use Git for version control, Docker for containerization, and automation with Bash scripting.

Skills:

• Proficiency in Python and libraries like NumPy, Pandas, PyTorch, TensorFlow, and scikit-learn.
• Experience with LLMs (such as GPT, BERT, etc.) and their applications.
• Solid understanding of package and environment management tools (Conda, Pip, Virtualenv).
• Experience with version control using Git and containerization with Docker.
• Ability to automate tasks using Bash scripting.