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.
The role involves designing, developing, and maintaining backend systems using Python, Django, and RESTful APIs.
You will build and optimize machine learning pipelines for healthcare data processing and automation.
The position requires developing AI-powered solutions for document processing, OCR, and data extraction from structured and unstructured sources.
You will implement web automation using Selenium/Python to interact with third-party portals and services.
Collaboration with frontend engineers using React/Vue to deliver full-stack solutions is essential.
Ensuring performance, scalability, and reliability of backend services is a key responsibility.
You will deploy and maintain ML models in production environments.
The role involves working with PostgreSQL, WebSockets, and AWS Lambda for data storage and processing.
You will apply prompt engineering techniques to fine-tune and optimize large language models (LLMs).
Participation in Agile ceremonies, conducting code reviews, writing tests, and maintaining documentation is expected.
Requirements:
You must have 3+ years of full-stack development experience, with a focus on backend engineering.
Strong proficiency in Python, Django, and React is required.
Experience implementing and deploying machine learning models in production is necessary.
Proficiency in NLP, OCR, and working with LLMs (e.g., GPT) is essential.
Experience with Selenium/Python for web automation is required.
Familiarity with EDI healthcare formats (837, 835, 270/271) is a strong plus.
A solid understanding of PostgreSQL, WebSocket, and AWS Lambda is necessary.
Experience with Docker, LocalStack, and container-based development is required.
Strong knowledge of version control using Git is essential.
Excellent problem-solving, analytical, and communication skills are necessary.
Experience in Agile development environments is required.
A self-starter mindset with the ability to work independently in a distributed team is essential.
Benefits:
This position offers a fully remote, flexible work environment.
You will have the opportunity to work on real-world AI applications in the healthcare space.
Joining a forward-thinking team solving complex automation challenges is a key benefit.
There are continuous learning and professional growth opportunities available.
