Senior MLOps Engineer

Required Skills:

• Natural Language Processing (NLP) - 3 Years of Experience
• TensorFlow OR PyTorch - 1 Year of Experience
• Pandas OR SciPy OR NumPy - 1 Year of Experience

Job Requirements:

• Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience).
• At least 5+ years of relevant experience as an MLOps Engineer.
• At least 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, and SciPy.
• Demonstrable 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.
• Fluent in English communication, both written and spoken.