Senior Machine Learning(Django) Engineer

We are looking for a highly skilled Machine Learning Backend Engineer to join a growing, fast-paced team building intelligent automation tools for the healthcare industry. This is a fully remote opportunity focused on leveraging AI and backend engineering to streamline complex workflows and unlock efficiency at scale. If you have strong experience in backend development, ML model integration, and web automation—and you're passionate about solving real-world problems—this role is for you.

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:

• 4+ 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