Senior Software Engineer (Python)

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Requirements:

• 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

Responsibilities:

• 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