What are the responsibilities and job description for the Python Developer position at Humata Health?
👋 We’re Humata Health. Humata Health creates frictionless prior authorization for providers and payers. With our proprietary artificial intelligence (AI) and automation technology, Humata Health delivers quality prior authorization submissions to help get patients the care they deserve. Humata Health is a physician-led company backed by a syndicate of strategic healthcare investors including Blue Venture Fund, LRVHealth, Optum Ventures, .406 Ventures, and Highmark Ventures.
What we’re making: We are creating a product that will allow health insurance companies to automate prior authorization document processing responsibly.
What we're looking for: Humata Health Inc. is seeking a skilled and passionate Senior Python Developer (ML Engineering/MLOps) to join our innovative team. In this role, you'll be a key contributor to designing, developing, and maintaining our AI-powered healthcare technology solutions, with a focus on machine learning operations, model deployment, and Python-based backend systems that power our healthcare platform at scale.
Location: Florida, US; Remote, US
✅ 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
Role Requirements:
- Bachelor's degree in Computer Science, Software Engineering, or related field
- 5 years of professional Python development experience in production environments
- Proven experience building and maintaining Python applications at scale
- 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
- Strong problem-solving skills and attention to detail
- Excellent communication and teamwork skills
⭐Preferred Experience:
- Experience optimizing Python code for performance and scalability
- Familiarity with healthcare data standards (e.g., FHIR, HL7) and PHI regulations
- Experience with distributed computing frameworks (Spark, Dask)
- Knowledge of database technologies (PostgreSQL, MongoDB)
- Experience with Python web frameworks (Django, Flask, FastAPI)
- Understanding of microservices architecture
- Previous experience in healthcare technology or related fields
- Understanding of Agile development methodologies
- Experience with automated testing for ML systems and Python applications
- Familiarity with model interpretability techniques and tools
