Data Scientist / Machine Learning

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Job Title: Machine Learning Engineer

Location: Remote

Duration: Long term

Tax Term: W2

Job Description:

Rapidly develop and deploy production-ready ML models, with a focus on scalability and monitoring across a broad range of applications within healthcare
Write efficient, maintainable, and scalable Python code tailored to specific business needs
Build high-performance, multi-tenant deployment architectures, and sophisticated model monitoring systems
Directly engage with internal stakeholders to incorporate feedback and refine the ML-driven products through quick iteration cycles
Uphold stringent security protocols and processes in the deployment and maintenance of machine learning models
Drive the continuous advancement of MLOps practices within the healthcare industry by developing innovative solutions and advocating for best practices
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

Required Skills:

Natural Language Processing NLP
Tensorflow OR PyTorch

Pandas OR Scipy OR Numpy

Data Scientist / Machine Learning
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