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Senior Backend Developer
hace 2 semanas
We are seeking a highly skilled Machine Learning Engineer to join our team building intelligent automation tools for the healthcare industry.
Key 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 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)
- 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
- Fully remote, flexible work environment
- Opportunity to 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
We are an equal opportunity employer. We do not discriminate on the basis of age, race, color, religion or religious creed, sexual orientation, gender, gender identity, marital status, family or parental status, disability, military or veteran status, age, or any other basis protected by law.