Remote ML Platform Engineer - MLOps & SageMaker Expert

eCom Solutions, Inc.; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

eCom Solutions, Inc. is seeking a remote ML Engineer to help enable algorithm development and reproducible deployment workflows across imaging data products.

The role focuses on ML platform engineering, MLOps, model integration, and governance, rather than developing new clinical interpretation algorithms. You'll collaborate with data scientists and engineers to ensure traceability from dataset to model output and support onboarding to Vertex AI, Posit Workbench, and HPC.

Qualifications

• Bachelor’s or Master’s degree in CS, DS, Engineering, or related field.
• Minimum 4 years of ML engineering, MLOps, or applied AI platform experience.
• Experience supporting enterprise-scale ML platforms or regulated data environments preferred.
• Strong proficiency in Python and ML libraries.
• Experience with imaging data workflows and regulated environments is a plus.

Responsibilities

• Build and support ML / MLOps capabilities within the Global Imaging Platform.
• Integrate ML models and workflows with GIP IDPs, ARDs, App Catalog, and model registry.
• Support SageMaker integration as the first connected algorithm development environment.
• Package algorithms for repeatable execution, versioning, lineage, and auditability.
• Implement model metadata, version control, experiment tracking, and reproducible build patterns.
• Support in-platform inferencing workflows for SageMaker-hosted or connected models.
• Collaborate with data engineers, architects, and validation teams to ensure traceability from dataset to model output.
• Support CI/CD pipelines for ML model packaging, deployment, rollback, and promotion.
• Contribute to governance, observability, monitoring, and lifecycle controls for ML models.
• Support validation evidence generation and audit-readiness documentation.
• Collaborate with Genentech SMEs to align ML workflows with platform standards.
• Assist onboarding connected environments such as Vertex AI, Posit Workbench, and HPC.

Skills

Python

AWS SageMaker

MLOps

MLflow

Docker

GitHub

CI/CD

Kubernetes / EKS

Data pipelines

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Biomedical Engineering, or related field

Tools

MLflow

Docker

GitHub Actions

Kubernetes

Job description

eCom Solutions, Inc. is seeking a remote ML Engineer to help enable algorithm development and reproducible deployment workflows across imaging data products.

The role focuses on ML platform engineering, MLOps, model integration, and governance, rather than developing new clinical interpretation algorithms. You'll collaborate with data scientists and engineers to ensure traceability from dataset to model output and support onboarding to Vertex AI, Posit Workbench, and HPC.