remote
Sr Machine Learning Engineer - Intone Networks
ML Engineer
Senior Machine Learning Engineer with 10+ years of experience designing, deploying, and scaling production-grade ML systems using Python, AWS, and deep learning frameworks.
About the role
Key Responsibilities
- Design, develop, and maintain end-to-end machine learning pipelines for large-scale, real-time applications.
- Collaborate with data scientists and software engineers to translate research prototypes into production-ready services.
- Optimize model performance and inference latency on cloud infrastructure, leveraging AWS services such as SageMaker, ECS, and Lambda.
- Implement robust monitoring, logging, and automated retraining workflows to ensure model reliability and compliance.
- Mentor junior engineers and lead code reviews, fostering best practices in model versioning, data governance, and security.
Requirements
- 10+ years of professional experience building scalable ML systems.
- Proficiency in Python, deep learning libraries (TensorFlow, PyTorch), and distributed computing frameworks.
- Hands‑on experience with AWS ML services and container orchestration (ECS/EKS).
- Strong background in data engineering, feature store design, and model deployment pipelines.
- Excellent problem‑solving skills and a track record of delivering high‑impact, production‑grade solutions.
Skills
machine learningpythonawsdeep learning