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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer, Associate - **Company:** Acentra Health - **Location:** McLean, VA, United States - **Experience:** Experienced - **Salary:** $113,700.0 - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Microsoft Basic Data Partition, Code Review, Continuous Integration, Data Cleansing, Decision Support Systems, DevOps, Monitoring of Systems, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Tensorflow, Software Engineering, SQL Databases, Feature Engineering, Pytorch, Fast Healthcare Interoperability Resources, Large Language Models, Prompt Engineering, Code Comments, Pandas, Scikit Learn, Information Technology, Production Code, Health Level Seven International, Machine Learning Operations, Software Version Control, Data Pipelines - **Published:** July 26, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17702237?backUrl=%2Fcareer%2F17702237%2FMachine-Learning-Engineer-Associate-Virginia-Mclean ## About the Role * Bachelor's degree in Computer Science, Data Science, Engineering, or a related field (Master's a plus). * 2+ years of relevant experience (including internships, co-ops, research, or project-based experience) building or applying machine learning solutions (preferably with proven applied AI/LLM deployments) * Working knowledge of Python (or similar) and fundamentals of machine learning and statistics., * Exposure to machine learning frameworks/libraries (e.g., scikit-learn, PyTorch, TensorFlow). * Familiarity with SQL and common data tools (e.g., Pandas, NumPy). * Basic understanding of NLP concepts; exposure to large language models (LLMs) and prompt engineering is a plus. * Experience or coursework in MLOps concepts (e.g., version control, CI/CD basics, model monitoring, experiment tracking). * Exposure to cloud platforms (Azure and/or AWS) for development or deployment is a plus. * Familiarity with healthcare data concepts/standards (e.g., HIPAA awareness, HL7/FHIR, EHR data) is desirable but not required. * Strong communication skills and willingness to learn in a multidisciplinary environment., For non-clinical roles, or when not required by the contract specifically, the Company acknowledges that practical, hands-on experience can provide skills and competencies equivalent to formal education. As such, in cases where a Bachelor's degree may be required, the Company will accept a minimum of six (6) years of directly relevant professional experience in lieu of a degree. In instances where the candidate has an Associate's degree, the Company will accept a minimum of three (3) years of directly relevant professional experience in lieu of the Bachelor's degree. ## Description Acentra Health is looking for a Machine Learning Engineer/AI Engineer, Associate to join our growing team., The purpose of this position is to support the design, development, and deployment of machine learning solutions that improve patient outcomes and drive innovation and efficiency in healthcare. The Associate Machine Learning Engineer works under the guidance of senior engineers and data scientists to help build data pipelines, train and evaluate models (including natural language processing and generative AI use cases), and contribute to production-ready code and documentation., * Assist in developing and testing machine learning models and algorithms for healthcare use cases (e.g., risk stratification, prediction, decision support) * Support data preparation activities including data cleaning, feature engineering, and basic data augmentation * Help build and maintain repeatable ML workflows/pipelines for training, validation, and experiment tracking * Run model evaluations using standard metrics; document results and support troubleshooting of performance issues * Partner with software engineering/DevOps to help package, deploy, and monitor models in non-production and production environments * Create and maintain documentation, code comments, and basic runbooks; participate in code reviews and team ceremonies * Support ML pipelines including data preparation, training workflows, and deployment into applications * Stay current on advances in LLMs, GenAI, and compliance requirements (HIPAA, GDPR, FDA) The list of accountabilities is not intended to be all-inclusive and may be expanded to include other education- and experience-related duties that management may deem necessary from time to time. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [How to implement convenient Python bindings to C++](https://www.wearedevelopers.com/videos/618-how-to-implement-convenient-python-bindings-to-c) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)