AgentOps EngineeringPositions
Client is staffing hands-on 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