Senior Machine Learning Operations Engineer

You should have a minimum of 3 years of experience working with transformer-based models and NLP, preferably in a healthcare context. Your track record should demonstrate strong proficiency in 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, and Scipy is essential. Experience with both relational and non-relational databases is required for this role. You should have extensive experience working with TensorFlow or PyTorch, and familiarity with HuggingFace. Knowledge of model analysis and experimentation frameworks such as MLFlow, W&B, and tfma would be advantageous. Being comfortable with a Linux environment and adhering to stringent data security practices is crucial for this position. You will be required to pass a rigorous vetting process, including extensive background checks, to ensure the highest standards of data security and integrity. Your skills should include Machine Learning, NLP, and Notebooks.,