Senior Engineer, Machine Learning - Remote US

Machine Learning Deployment:

• Deploy and monitor machine learning models in production.
• Use tools like Docker, Kubernetes, and MLflow.
• Ensure scalability and reliability.

Data Pipeline Management:

• Build and maintain data pipelines using Airflow, Spark, or Kafka.
• Support model training and inference.
• Ensure high-quality data for machine learning applications.

Cross-functional Collaboration:

• Integrate ML models into business applications.
• Collaborate with software engineers to operationalize solutions.
• Work with technical and non-technical stakeholders.