remote
Senior Machine Learning Engineer, GFT - RBC
ML Engineer
Senior Machine Learning Engineer building high‑performance ML solutions on AWS, designing data pipelines, and deploying production models for enterprise banking applications.
About the role
Key Responsibilities
- Design, develop, and production‑grade deploy machine learning models using Python and AWS services (SageMaker, Lambda, Glue).
- Build and maintain scalable data pipelines for feature engineering and model training.
- Collaborate with cross‑functional teams to translate business requirements into ML solutions.
- Implement model monitoring, A/B testing, and continuous improvement workflows.
- Document best practices, model artifacts, and performance metrics for audit and compliance.
Requirements
- 5+ years of experience in machine learning engineering or data science.
- Proficiency in Python, SQL, and deep learning frameworks (TensorFlow, PyTorch).
- Hands‑on experience with AWS ML services and CI/CD pipelines.
- Strong understanding of data engineering concepts and big data tools.
- Excellent communication skills and ability to work in a fast‑paced, collaborative environment.
Skills
machine learningpythonawsdeep learning