Location: WASHINGTON, US
Job Summary:
Job Duties:
- Lead ML operationalization across the enterprise.
- Architect, build, maintain, and improve end-to-end ML systems.
- Implement batch and real-time algorithms with monitoring and A/B testing tools.
- Collaborate with cross-functional teams on new capabilities.
- Establish automated processes for data analysis and model implementation.
- Mentor team members in best practices for production ML code.
Required Skills:
- Machine Learning (ML)
- MLOps
- Cloud platforms (Azure, AWS)
- Python, Java, Scala
- Data processing (Hadoop, Spark)
- Deep Learning frameworks (PyTorch, TensorFlow)
- Software engineering methodologies
Required Experiences:
- 5+ years in ML systems deployment.
- 8+ years in software engineering.
- Experience with SQL/NoSQL databases.
- Industry experience in ML systems productionization.
- Familiarity with Kubernetes and data pipeline tools.
Job URLs: