Senior ML Engineer - Healthcare AI (Hybrid)

Archer; Boston (MA); Hybrid; USD 145,000 - 247,000; Full time

Job summary

Archer in Boston is seeking a Senior Machine Learning Engineer to design, develop, deploy, and optimize ML solutions for athenahealth healthcare products. Hybrid work in Boston, MA with cross-functional collaboration to apply ML, data science, and software engineering practices across the full ML lifecycle.

The role contributes to production services, model performance improvements, and scalable data pipelines within a scrum team.

Qualifications

• Bachelor's or Master's degree in Mathematics, CS, Data Science, Statistics or related field.
• 4–6 years of hands-on experience building, evaluating, and deploying ML models in production.
• Proficiency in Python, SQL, and Unix-based environments.
• Experience building production-grade ML services and workflows.
• Knowledge of ML fundamentals, statistics, and software engineering best practices.
• Familiarity with NLP, computer vision, or other ML techniques.
• Experience with deep learning models and large language models is helpful.
• Experience with AWS and Kubernetes/Kubeflow is helpful.
• Strong communication skills.

Responsibilities

• Identify opportunities to apply machine learning techniques to healthcare product and business problems and evaluate approaches.
• Design and develop machine learning models and ML-based production services for client-facing and internal applications.
• Build scalable data pipelines, feature engineering workflows, and training datasets.
• Deploy and maintain production ML services using cloud infrastructure and MLOps practices.
• Apply rigorous testing and validation methods to models, code, and production workflows.
• Collaborate with teammates to define requirements and communicate findings.
• Contribute to internal tools, reusable frameworks, and team standards.
• Use AI tools to improve experimentation, coding, and analysis while applying sound judgment.

Skills

Python

SQL

Unix

ML pipelines

NLP

Computer Vision

AWS

Kubeflow

Kubernetes

Education

Bachelor's or Master's in a relevant field

Tools

Kubeflow

Job description

Archer in Boston is seeking a Senior Machine Learning Engineer to design, develop, deploy, and optimize ML solutions for athenahealth healthcare products. Hybrid work in Boston, MA with cross-functional collaboration to apply ML, data science, and software engineering practices across the full ML lifecycle.

The role contributes to production services, model performance improvements, and scalable data pipelines within a scrum team.