AI/ML Engineer

Job Description:

We are seeking a highly skilled Machine Learning Engineer with a focus on Large Language Models (LLMs) to join our innovative team. The ideal candidate will have expertise in inferencing and fine-tuning text and multimodal LLMs, leveraging GPU accelerators such as Nvidia and AMD for optimal performance. You will play a critical role in model management and contribute to both frontend and backend development to ensure seamless integration of LLMs into our products.

Key Responsibilities:

• Develop and fine-tune LLMs for various text and multimodal applications using Pytorch, vLLM, or similar frameworks.
• Optimize LLM inferencing using GPU accelerators, with a preference for experience in AMD alongside Nvidia.
• Manage the lifecycle of machine learning models, including training, evaluation, deployment, and continuous improvement.
• Collaborate with cross-functional teams to integrate LLMs into frontend and backend systems.
• Stay abreast of the latest advancements in LLMs and GPU technologies to drive innovation within the company.

Qualifications:

• Strong experience with LLMs, including both text and multimodal models.
• Proficiency in machine learning frameworks such as Pytorch and familiarity with vLLM or equivalent libraries.
• Experience with GPU accelerators, particularly Nvidia and AMD, for machine learning tasks.
• Solid understanding of model management practices and MLOps principles.
• Ability to work with frontend and backend systems to integrate machine learning models.
• Excellent problem-solving skills and the ability to work in a fast-paced environment.

Education & Experience:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field.
• Proven track record of working with LLMs and GPU accelerators in a professional setting.
• Join us and contribute to the cutting edge of machine learning technology!