Das ist der Job
Responsibilities Fine-tune state-of-the-art LLMs for diverse use cases while optimizing models.
Darum lohnt es sich
Partner with product managers, software engineers, data scientists and operation teams. Create a multi-year tech roadmap for the team. Brainstorm, design and develop AI products like AI Assistant and Autonomous agent. Work with large scale structured and unstructured data to continuously improve foundation models.
Continuously evaluate foundational models for enhanced performance and efficiency. Hands‑on prototype, develop and productionize LLM models and pipelines. Drive AI architectural decisions and contribute to ML platform architecture.
Requirements PhD in Computer Science, Machine Learning, Mathematics, Statistics, or related technical field. 10+ years of experience with developing machine learning models and products at scale from inception to business impact. Programming experience in Python and hands‑on experience with frameworks such as PyTorch.
Proven record of training, fine tuning, optimizing models and inference run‑time. Post‑training experience in areas like data processing for fine‑tuning; responsible LLMs; LLM alignment; reinforcement learning; efficient training and inference; language model evaluation; and/or multilingual and multimodal modeling.
Or specialized experience in runtime optimizations, model quantization, compression, on‑device inference, GPU inference, pytorch, kernel development. #J-18808-Ljbffr
