We seek a Machine Learning Engineer with expertise in Large Language Models to design, optimize, and integrate advanced AI solutions. You’ll work on cutting-edge research, develop quantum-inspired compression techniques, and collaborate across teams to enhance model efficiency and performance.
Responsibilities
Develop new techniques to compress LLMs using quantum-inspired methods.
Optimize model accuracy, robustness, and efficiency through rigorous evaluation.
Identify opportunities for innovation and enhance model performance.
Maintain documentation and mentor junior team members.
Stay updated with advancements in LLMs and recommend new technologies.
Qualifications
Master’s or Ph.D. in AI, Machine Learning, Computer Science, or related fields.
4+ years of experience in deep learning and NLP, with hands-on work on LLMs.
Strong Python programming skills and experience with PyTorch, Hugging Face, etc.
Familiarity with YOLO, LLaMA, Claude, Mistral, or Falcon is a plus.
Experience with cloud platforms (AWS), Docker, and GPU architectures.
Strong problem-solving and communication skills.
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