Sr. Machine Learning (Django) Engineer

Responsibilities

• Design, develop, and maintain backend systems using Python, Django, and RESTful APIs
• Build and optimize machine learning pipelines for healthcare data processing and automation
• Develop AI-powered solutions for document processing, OCR, and data extraction from structured and unstructured sources
• Implement web automation using Selenium/Python to interact with third-party portals and services
• Collaborate with frontend engineers using React/Vue to deliver full-stack solutions
• Ensure performance, scalability, and reliability of backend services
• Deploy and maintain ML models in production environments
• Work with PostgreSQL, WebSockets, and AWS Lambda for data storage and processing
• Apply prompt engineering techniques to fine-tune and optimize large language models (LLMs)
• Participate in Agile ceremonies, conduct code reviews, write tests, and maintain documentation

Requirements:

• 3+ years of full-stack development experience, with a focus on backend engineering
• Strong proficiency in Python, Django, and React
• Experience implementing and deploying machine learning models in production
• Proficiency in NLP, OCR, and working with LLMs (e.g., GPT)
• Experience with Selenium/Python for web automation
• Familiarity with EDI healthcare formats (837, 835, 270/271) is a strong plus
• Solid understanding of PostgreSQL, WebSocket, and AWS Lambda
• Experience with Docker, LocalStack, and container-based development
• Strong knowledge of version control using Git
• Excellent problem-solving, analytical, and communication skills
• Experience in Agile development environments
• Self-starter mindset with the ability to work independently in a distributed team

Why join us?

• Fully remote, flexible work environment
• Work on real-world AI applications in the healthcare space
• Join a forward-thinking team solving complex automation challenges
• Continuous learning and professional growth opportunities