summary: "Build and optimize recommendation algorithms and end-to-end features that deliver personalized, scalable coaching experiences for enterprise clients."

- Build, optimize, and maintain recommendation algorithms using machine learning techniques and LLMs
- Develop and maintain web and mobile applications using Next.js, React, and Node.js
- Design and implement RESTful APIs and backend services using Node.js and Python
- Collaborate with the ML team to integrate and deploy recommendation models into production
- Ensure features meet SOC 2, ISO 27001, and ISO 27018 compliance standards
- Partner with product, design, and ML teams to deliver user-centric solutions

qualifications:

- 3+ years of full-stack development experience with hands-on work in recommendation systems or ML-driven applications




- Proficiency in Next.js, React, Node.js, and Python
- Familiarity with recommendation algorithms, LLMs, or NLP techniques
- Experience with CI/CD pipelines, Docker, and AWS
- Basic understanding of SOC 2, ISO 27001, and ISO 27018 standards

note: We are hiring globally but cannot sponsor visas outside of Finland or Brazil at this time.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Mid-level Full-Stack Engineer, Recommendation Systems (India)
🏢 Pandatron
📍 India