Senior Machine Learning Operations Engineer

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