Senior Machine Learning Engineer

Careforth

9d • $190,000 • Remote

About The Position

The Senior Machine Learning Engineer will be a cornerstone of our AI/ML organization, spearheading the design and deployment of advanced Natural Language Processing (NLP) solutions to revolutionize caregiver support. You will transform unstructured caregiver notes and visit observations into production-grade AI models, specializing in Retrieval-Augmented Generation (RAG), document intelligence, and predictive care analytics. The ideal candidate brings engineering maturity and a track record of building end-to-end ML pipelines that turn complex text into actionable care insights.

Requirements

• MS/Advanced degree in Computer Science, Computational Linguistics, or a related quantitative field.
• 7-10 years in Machine Learning, with a significant history of deploying large-scale systems in production.
• Expert-level proficiency in Hugging Face, LangChain, spaCy, and RAG-based architectures.
• Master-level Python and deep learning framework expertise (PyTorch/TensorFlow).
• Extensive experience with Databricks/Spark (PySpark) and cloud platforms such as AWS SageMaker.
• Demonstrated ability to research and learn new technical tools while analyzing data across multiple complex systems.
• Demonstrated ability to manipulate data across multiple systems, including SQL, SAS, and NoSQL environments.
• Exceptional ability to translate complex algorithmic results into clear Business Value for non-technical executive stakeholders.

Responsibilities

• Design and implement scalable NLP architectures, including Transformers, BERT-based models, and Generative AI frameworks tailored for healthcare data.
• Build robust preprocessing pipelines for unstructured text to perform tokenization, Named Entity Recognition (NER), and sentiment analysis.
• Fine-tune Large Language Models (LLMs) and apply quantization techniques to optimize performance in live production environments.
• Partner with Data Engineering to build automated labeling workflows and feature stores that support Medallion Architecture standards.
• Lead the adoption of MLOps best practices using MLflow, Docker, and Kubernetes to ensure seamless CI/CD for ML pipelines.
• Monitor production model health to mitigate data drift and algorithmic bias, ensuring all outputs meet clinical safety and compliance standards.
• Influence the strategic roadmap by evaluating emerging technologies (e.g. Vector Databases) and mentor junior engineers on experimental design and model architecture.
• Perform other duties and special projects as assigned

Benefits

• At Careforth your well-being matters. With flexible schedules, a remote-first culture, and a nationally recognized wellness program, our benefits are designed to help you thrive, both professionally and personally. Discover how we invest in you: https://careforth.com/careers/#benefits
• The pay range for this position is $121,00 - $190000. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and geographic location.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level