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Senior ML Operations (MLOps) Engineer
Jobgether
US
Python
PyTorch
TensorFlow
Responsibilities:
- Own end-to-end Machine Learning (ML) system execution, from data pipelines to deployment.
- Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.
- Architect and operate scalable inference systems, balancing latency, cost, and reliability.
Qualifications:
- Experience building or shipping real Machine Learning (ML) systems used by people.
- Artificial Intelligence (AI) experience required.
- Experience writing strong, production-grade code in Python and PyTorch.
Benefits:
- Medical insurance, Dental, Vision, and Savings Plan Options.
- Paid time off (PTO) and other standard benefits.
Unknown
This company develops advanced production-grade machine learning systems. The team is small and high-trust, with a culture of ownership and pragmatism.