Location: WASHINGTON, US
Job Summary:
Job Duties:
- Lead ML operationalization across the enterprise.
- Architect, build, and maintain end-to-end ML systems.
- Implement solutions for batch and real-time algorithms.
- Collaborate with cross-functional teams for new capabilities.
- Mentor and promote best software engineering practices.
- Communicate complex concepts to technical and non-technical audiences.
Required Skills:
- ML engineering, MLOps knowledge
- Cloud platforms (Azure, AWS)
- Programming (Python, Java, C++)
- Deep learning frameworks (PyTorch, TensorFlow)
- API design, distributed systems
- Software engineering practices (CI/CD, unit testing)
Required Experiences:
- 5+ years in ML systems deployment
- 8+ years in software engineering
- Experience with SQL/NoSQL databases
- Familiarity with Hadoop, Spark, Kafka
- Building and productionizing ML systems
- Kubernetes experience
Job URLs: