AI Scientist – Model Training & Post‑Training

AI Scientists who have trained language models themselves (post-training / fine-tuning), not only used APIs. Lead Specialist, AI Scientist Senior, hands-on model trainer who sets technical direction for model post-training & adaptation.

Must-have skills:Post-training / fine-tuning of foundation models— SFT, PEFT (LoRA / QLoRA), preference optimization (RLHF / DPO), distillation Python + deep learning frameworks, incl.distributed / multi-GPU training Evaluation & benchmarking rigor— data curation, experiment design, reproducibility Public cloud AI services+ experience takingmodels into production Technical leadership— sets standards, mentors, communicates cost/risk trade-offs to senior stakeholders

Plus:AI/ML applied to educational content, assessment & personalized learning.