Fullstack Freelance

JOB DESCRIPTION

Analyze the system architecture and propose improvements for AI pipelines, data architecture, and APIs.

Integrate MLFlow into the platform to automate model tracking and metadata storage.

Build user-facing dashboards displaying model runs, user feedback, and system alerts.

Implement a feedback loop that collects user feedback and connects it back into the AI pipeline.

Design and implement multi-tenancy architecture for customer data separation and role-based access control.

Develop a comprehensive audit log system for AI activities and set up alert mechanisms for abnormal behaviors.

JOB REQUIREMENTS

2+ years of experience in fullstack development (both frontend and backend).

Proficient in Python (FastAPI or Flask) and React.

Experience building and integrating RESTful APIs with clean codebase organization.

Solid understanding of MLFlow or equivalent ML/AI tracking platforms.

Skilled in working with PostgreSQL, MongoDB, and logging systems.

Strong systems-thinking mindset, with the ability to work independently and proactively.

Experience with multi-tenant systems, RBAC, and audit logging.

Background in internal platforms for AI, Data Science, or SaaS is a strong plus.

Knowledge of DevOps practices, Docker, and CI/CD pipelines is a bonus.