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# Senior Machine Learning Engineer

- **Company:** Care Access Research LLC
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $140,000.0 - $190,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Automation of Tests, Big Data, Clojure, Cloud Computing, Computer Programming, Python (Programming Language), Machine Learning, Tensorflow, Freeform SQL, Feature Engineering, Data Ingestion, Pytorch, Large Language Models, Pandas, Containerization, Scikit Learn, Integration Frameworks, Machine Learning Operations, Functional Programming, Docker
- **Published:** October 30, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-machine-learning-engineer-new-york-ny--9437c4c0-a2f3-4233-af37-fa8632ffeef2

## About the Role

Machine Learning, Healthcare, Clinical Research, Community Health, Medicine, Detail Oriented, Work From Home, Communication Skills, Machine Learning, Problem Solving Skills, * Strong programming and data skills: Proficiency in Python and its ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch), with clean and efficient coding practices. Comfortable working with large datasets, writing complex SQL queries, and leveraging modern data processing frameworks. Experience with functional programming (e.g. Clojure) is a plus but not required.

 * Cloud and MLOps expertise: Experience with modern cloud infrastructure (AWS or similar) and containerization tools like Docker. Familiarity with MLOps best practices such as CI/CD pipelines, automated testing, and monitoring model performance/data drift to ensure reliable, scalable deployments.
 * Deep ML/AI knowledge: Strong understanding of machine learning fundamentals (model selection, training, evaluation, feature engineering) and statistical modeling. Familiarity with NLP and large language models is important.
 * Analytical problem-solving: Ability to break down complex problems and devise effective, efficient ML solutions. You balance pragmatic engineering with scientific rigor, ensuring models are not only accurate but also performant and maintainable in production.
 * Mission-driven and business-focused mindset: A passion for our mission to speed up clinical trials and improve patient outcomes. Empathy for patients, clinicians, and researchers drives you to build unbiased AI solutions.

Certifications/Licenses, Education, and Experience:

 * Minimum Experience:
 * Minimum of 5+ years of hands-on experience building and deploying machine learning solutions in production at scale. Proven ability to implement end-to-end ML pipelines from data ingestion to model serving for real-world applications used by real people.