Minimum 3 years of experience with transformer-based models and NLP, preferably in a healthcare context. Strong track record of fine-tuning, running large-scale training jobs, and managing model servers like vLLM, TGI, or TorchServe. Proficiency in data science tools such as Pandas, Notebooks, Numpy, Scipy. Experience with both relational and non-relational databases. Extensive experience with TensorFlow or PyTorch, and familiarity with HuggingFace. Knowledge of model analysis and experimentation frameworks such as MLFlow, W&B, and tfma is preferred. Comfortable with a Linux environment and stringent data security practices. Must pass a rigorous vetting process, including extensive background checks to ensure the highest standards of data security and integrity. Skills: Machine Learning , NLP , Notebook,
Employement Category:
Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Senior Machine Learning Operations Engineer