MLOps Engineer

Remote

Job Description:

o Rapidly develop and deploy production-ready ML models, with a focus on scalability and monitoring across a broad range of applications within healthcare

o Write efficient, maintainable, and scalable Python code tailored to specific business needs

o Build high-performance, multi-tenant deployment architectures, and sophisticated model monitoring systems

o Directly engage with internal stakeholders to incorporate feedback and refine the ML-driven products through quick iteration cycles

o Uphold stringent security protocols and processes in the deployment and maintenance of machine learning models

o Drive the continuous advancement of MLOps practices within the healthcare industry by developing innovative solutions and advocating for best practices

Job Requirements:

o Bachelor's/Master's degree in Engineering, Computer Science (or equivalent experience)

o At least 5+ years of relevant experience as an MLOps Engineer

o At least 3+ years of experience with transformer-based models and NLP, preferably in a healthcare context

o Strong track record of fine-tuning, running large-scale training jobs, and managing model servers like vLLM, TGI, or TorchServe

o Proficiency in data science tools such as Pandas, Notebooks, Numpy, and Scipy

o Demonstrable experience with both relational and non-relational databases

o Extensive experience with TensorFlow or PyTorch, and familiarity with HuggingFace

o Knowledge of model analysis and experimentation frameworks such as MLFlow, W&B, and tfma is preferred

o Comfortable with a Linux environment and stringent data security practices

o Must pass a rigorous vetting process, including extensive background checks to ensure the highest standards of data security and integrity

o Fluent in English communication, both written and spo