Machine Learning Engineer

Key Responsibilities: • Set up and manage Linux-based environments (Ubuntu preferred), including shell scripting and package management. • Deploy and configure LLMs such as LLaMA using PyTorch and Hugging Face Transformers. • Run inference jobs using GPU resources (NVIDIA CUDA). • Manage cloud-based GPU instances on platforms like AWS EC2, Google Cloud Platform (GCP), or Hugging Face Spaces. • Create and maintain isolated development environments using Conda and pip. • Collaborate with the team to ensure smooth model integration and deployment in production-ready pipelines. Required Qualifications: Operating Systems & Tools: • Proficient in Linux (Ubuntu preferred) • Strong experience with shell scripting and package managers Cloud Platforms: • Familiarity with GPU-based instances (AWS EC2, GCP, Hugging Face Spaces) Programming & Frameworks: • Python (must-have) • Experience with PyTorch and Hugging Face Transformers Model Deployment & Inference: • Hands-on experience installing and configuring LLMs (e.g., LLaMA) • Running GPU-based inference workloads (CUDA) • Experience setting up virtual environments and managing Python dependencies.