onsite
Senior Machine Learning Engineer - Bill.com
ML Engineer
Lead the design and deployment of scalable machine learning solutions for financial automation, leveraging Python, deep‑learning frameworks, and cloud services to drive data‑driven decision making.
About the role
Key Responsibilities
- Architect, develop, and productionize end‑to‑end machine learning models that automate financial workflows.
- Collaborate with product, data engineering, and infrastructure teams to define data requirements and ensure robust data pipelines.
- Optimize model performance and scalability on AWS services, including SageMaker, EC2, and Lambda.
- Implement monitoring, testing, and continuous integration/continuous deployment (CI/CD) processes for ML models.
- Mentor junior engineers and contribute to best‑practice standards for reproducible research.
Requirements
- 5+ years of professional experience building and deploying ML models in production.
- Strong proficiency in Python and deep‑learning libraries such as TensorFlow or PyTorch.
- Hands‑on experience with AWS cloud services and infrastructure‑as‑code tools.
- Solid understanding of data modeling, SQL, and building scalable data pipelines.
- Proven ability to solve complex problems, communicate technical concepts clearly, and work cross‑functionally.
Skills
pythontensorflowpytorchawssql