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Machine Learning Engineer - DocuSign
ML Engineer
Design, develop, and deploy machine learning models at scale using Python, TensorFlow, and PyTorch on AWS, driving intelligent document insights and automation.
About the role
Key Responsibilities
- Build and production‑grade ML pipelines for document understanding and classification.
- Collaborate with data scientists to translate research prototypes into scalable services.
- Deploy models on AWS (SageMaker, ECS, Lambda) ensuring high availability and low latency.
- Optimize model performance through feature engineering, hyper‑parameter tuning, and A/B testing.
- Maintain data pipelines, feature stores, and model monitoring dashboards.
Requirements
- 3+ years of ML engineering experience with Python, TensorFlow or PyTorch.
- Strong background in data engineering, SQL, and cloud (AWS) deployment.
- Experience with MLOps tools (MLflow, SageMaker, Docker, CI/CD).
- Excellent problem‑solving skills and ability to work cross‑functionally.
Skills
pythonmachine learningawstensorflowpytorchsql