MLOps Engineer - Build Healthcare ML in Production

Imaginesoftware; Charlotte (NC); Presencial; USD 120.000 - 170.000; Jornada completa

Descripción de la vacante

ImagineSoftware in Charlotte, NC seeks a Machine Learning Operations Engineer to bring machine learning models into reliable production environments supporting healthcare solutions. You will define the MLOps strategy, architect scalable pipelines, and collaborate with data science and leadership to drive governance and experimentation.

The role requires 3+ years in MLOps, deep AWS expertise, Python proficiency, and strong CI/CD/DevOps skills.

Formación

• 3+ years hands-on experience in MLOps or production ML systems.
• Deep expertise in AWS cloud services (SageMaker, EKS, EC2, S3, IAM, CloudWatch).
• Strong programming skills in Python (and ideally another language).
• Experience building and maintaining ML pipelines and orchestration tools (Airflow, Kubeflow, Step Functions).
• Familiarity with streaming/data processing frameworks (Kafka, Spark).
• Experience with feature stores, model registries, and experiment tracking tools (MLflow, Feast).
• Knowledge of model governance, fairness, and explainability frameworks.

Responsabilidades

• Define and lead the MLOps vision, architecture, and roadmap across model development and production environments.
• Design end-to-end ML pipelines from data ingestion to deployment and monitoring.
• Establish scalable patterns for model lifecycle management (versioning, retraining, rollback, auditability).
• Partner with Data Science teams to productionize models reliably and efficiently.
• Implement CI/CD pipelines for ML workflows, including automated testing and deployment.
• Enable real-time and batch inference systems with high availability and low latency.

Conocimientos

MLOps

AWS Cloud

Python

CI/CD

Model governance

Data drift monitoring

Educación

BS in CS/Engineering/Data Science

Herramientas

Airflow

Kubeflow

MLflow

Feast

SageMaker

EKS

Step Functions

Kafka

Spark

Descripción del empleo

ImagineSoftware in Charlotte, NC seeks a Machine Learning Operations Engineer to bring machine learning models into reliable production environments supporting healthcare solutions. You will define the MLOps strategy, architect scalable pipelines, and collaborate with data science and leadership to drive governance and experimentation.

The role requires 3+ years in MLOps, deep AWS expertise, Python proficiency, and strong CI/CD/DevOps skills.