Backend Engineer

• Design, build, and maintain backend services and APIs in Python, with a focus on integrating and deploying machine learning models
• Architect scalable infrastructure on AWS (S3, Lambda, SQS, ECS, CloudWatch) to support ML pipelines and inference at scale
• Collaborate with product managers, designers, data scientists, and engineers to define and deliver ML-powered product features
• Deploy, monitor, and optimize ML models in production, ensuring performance, security, and compliance with HIPAA and other healthcare regulations
• Develop and optimize data pipelines for training, inference, and real-time decision-making
• Implement best practices for CI/CD, testing (Pytest), and version control (Git) to ensure reliable ML feature deployment
• Troubleshoot and resolve production issues across ML services, APIs, and infrastructure
• Document architectural decisions, ML workflows, and compliance/security practices
• Provide technical leadership—mentoring engineers, reviewing code, and championing backend + ML integration best practices

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