Apply📍 United States
🧭 Full-Time
🔍 Healthcare Technology
- 5+ years of professional Python development experience in production environments
- 3+ years of experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Strong experience with MLOps practices and tooling (model versioning, feature stores, experiment tracking)
- Experience deploying and monitoring ML models in production environments
- Proficiency with containerization (Docker) and orchestration (Kubernetes)
- Experience with cloud platforms (AWS, GCP, or Azure) and their ML services
- Strong understanding of data processing techniques and libraries (Pandas, NumPy)
- Proficiency with version control systems (Git) and CI/CD pipelines
- Develop scalable, high-performance Python applications that can handle significant data volumes and interface over gRPC
- Design, build and maintain highly observable Python microservices that work seamlessly with our Golang service backend
- Create reproducible, scalable, and monitored ML workflows from experimentation to production
- Implement robust data processing pipelines for healthcare data
- Build and maintain RESTful APIs and backend services that integrate with our ML systems
- Collaborate with data scientists to operationalize models and improve model performance
- Establish MLOps best practices, including CI/CD for ML, model versioning, and monitoring
- Troubleshoot, debug, and optimize existing ML systems for performance and reliability
- Work with cross-functional teams to define requirements and implement new features
- Mentor junior engineers and contribute to engineering excellence
AWSBackend DevelopmentDockerPostgreSQLPythonSoftware DevelopmentSQLGCPGitKubernetesMachine LearningNumpyPyTorchAlgorithmsData engineeringData StructuresgRPCREST APIPandasTensorflowCI/CDRESTful APIsMicroservicesSoftware EngineeringData analyticsDebugging
Posted 1 day ago
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