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Advanced Automation Solutions Architect
hace 3 semanas
We are seeking a highly skilled Backend Machine Learning Engineer to join our 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.
About the Role:
- We are looking for someone with strong experience in backend development, ML model integration, and web automation—and a passion for solving real-world problems.
- The ideal candidate will have expertise in designing, developing, and maintaining backend systems using Python, Django, and RESTful APIs.
Key Responsibilities:
- Design and develop scalable backend systems for data processing and automation.
- Build and optimize machine learning pipelines for healthcare data.
- 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 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).
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.
- Self-starter mindset with the ability to work independently in a distributed team.
Benefits:
- 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.