Machine Learning Engineer

Summary

Join Solace as a Python ML Engineer and own the deployment and operationalization of machine learning models powering intelligent platform features. Collaborate with data scientists and product teams to transition algorithms from prototype to production, building scalable, reliable systems in AWS. You will be responsible for deploying models with SageMaker, building inference APIs with FastAPI, and automating pipelines with Airflow. This role requires strong Python engineering skills, AWS experience, and familiarity with MLOps. The position is fully remote and based in the U.S. Solace is a Series B startup focused on improving healthcare access and outcomes. The company offers a fast-paced, mission-driven environment.

Requirements

• Strong Python engineering skills, especially in ML model deployment
• Proven experience with AWS services including SageMaker, Lambda, ECS, and API Gateway
• Comfort building APIs with FastAPI or Flask for model inference
• Familiarity with orchestration tools like Airflow and Step Functions
• Understanding of CI/CD, containerization (Docker), and versioning for ML
• Solid SQL skills and experience integrating with Snowflake or Postgres

Responsibilities

• Deploy machine learning models from prototype to production, working closely with data scientists and product stakeholders
• Build scalable ML inference systems using AWS services like SageMaker, Lambda, ECS, and S3
• Develop APIs and serverless endpoints to enable real-time and batch inference
• Design and automate pipelines for data prep, feature engineering, training, and retraining workflows using Airflow or Step Functions
• Monitor and optimize model performance, observability, and reliability
• Champion best practices around MLOps, CI/CD, and reproducibility
• Improve model latency, cost, and performance in production environments
• Contribute to the evolution of Solace’s ML infrastructure and internal tooling

Preferred Qualifications

Experience with ML observability tools (e.g. MLflow), serverless architectures, or startup/healthcare settings

Benefits

This is a remote position