"Alerted.org

OverviewBridges machine learning research and engineering, applying both deep ML knowledge and an ability to deliver and maintain production-grade ML services at scale. Develops, tests, and deploys machine learning models to improve clinical and business outcomes, building scalable and reliable ML services on AWS SageMaker and other platforms. Collaborates with data scientists to experiment with advanced ML/AI algorithms and new ML/AI frameworks. Ensures effective CI/CD practices, ML pipeline monitoring, and model performance management to maintain reliable ML systems. Builds and maintains upstream data pipelines, designing feature extraction and engineering pipelines to support ML training and inference. Works under general supervision.

Compensation Range:$122,300.00 - $164,000.00 Annual

What We Provide

+ Referral bonus opportunities

+ Generous paid time off (PTO), starting at 3 0 days of paid time off and 9 company holidays

+ Health insurance plan for you and your loved ones, Medical, Dental, Vision, Life and Disability

+ Employer-matched retirement saving funds

+ Personal and financial wellness programs

+ Pre-tax flexible spending accounts (FSAs) for healthcare and dependent care

+ Generous tuition reimbursement for qualifying degrees

+ Opportunities for professional growth and career advancement

+ Internal mobility, generous tuition reimbursement, CEU credits, and advancement opportunities

What You Will Do

+ Collaborates with data scientists to define and implement robust ML workflows.

+ Leads development of ML training, inference, and monitoring pipelines using GitLab CI, SageMaker, and Airflow.

+ Supports development of ML feature engineering pipelines. (primarily using dbt on Snowflake and Redshift)

+ Maintains model registries and supports end-to-end model lifecycle management.

+ Identifies and resolves runtime and infrastructure issues.

+ Contributes to system design and architectural decisions.

+ Mentors junior engineers and promotes engineering best practices.

+ Participates in special projects and performs other duties as assigned.

Qualifications

Licenses and Certifications:

+ AWS certifications relevant to ML/AI:

+ AWS Certified Cloud Practitioner

+ AWS Certified AI practitioner

+ AWS Certified Solutions Architect Associate

+ AWS Certified Machine Learning Engineer Associate

+ AWS Certified Data Engineer

+ AWS Certified Machine Learning Specialty preferred

Education:

+ Bachelor's Degree in Computer Science or a related discipline required

+ Master's Degree in Computer Science or a related discipline preferred

Work Experience:

+ Minimum of four years of experience deploying and productionizing machine learning models required

+ Demonstrated expertise in core ML concepts (e.g., bias-variance tradeoff, feature selection, model

+ evaluation) and experience implementing modern architectures such as transformers, gradient boosting

+ models, or time series forecasting techniques. required

+ Proficiency in Python for general-purpose scripting and ML development required

+ Experience with data pipeline and workflow management tools (e.g. Airflow) required

+ Experience with ML engineering platforms (e.g., AWS SageMaker, MLflow, Kubeflow) and strong understanding of model lifecycle management, CI/CD for ML, and infrastructure-as-code principles required

+ Proficiency in Docker and other container services required

+ Experience with cloud computing (e.g. AWS) and columnar databases (e.g. Snowflake) in a cloud environment required

+ Effective oral, written and interpersonal communication skills required

+ Experience with version control, especially Git/GitLab required

+ Proficiency in bash scripting and working on the Linux command line required

+ Experience building and deploying machine learning algorithms in a health care setting preferred

+ Experience with medical claims, electronic medical records, and clinical assessment data preferred

+ Experience training and deploying models using modern deep learning frameworks (e.g. pytorch) preferred

CAREERS AT VNS Health

The future of care begins with you. Together, we will revolutionize health care in the home and community. When you join VNS Health, you become a part of something bigger. For generations, we’ve been a recognized leader and innovator in patient-centered and community-focused health care. At VNS Health, you’ll have the opportunity to meaningfully impact lives. Including yours. Discover your next role at VNS Health.