ML / AI Engineer

ML/AI Engineer Location: Remote Type: Full-time

About Us: Muftar Corp is transforming the logistics industry by democratizing enterprise-grade technology for small carriers. Our AI-powered platform helps the underserved 97% of the market compete effectively against industry giants.

Role Overview: We're seeking an ML/AI Engineer to lead the development of our core AI capabilities within our Google Cloud ecosystem. You'll be instrumental in building systems that process logistics documents, detect fraud patterns, and optimize routing decisions.

Key Responsibilities:

• Design and implement ML models using Google Cloud AI/ML services • Develop and deploy models through Firebase ML • Create server-side ML implementations using Node.js • Build client-side ML features using TensorFlow.js with React • Implement document processing pipelines using Cloud Vision API • Optimize model performance and resource usage • Collaborate with our frontend and backend teams Technical Requirements:

• Strong experience with Google Cloud AI/ML services • Proficiency in Node.js for server-side ML implementations • Experience with TensorFlow.js and client-side ML • Familiarity with React for frontend ML features • Understanding of Firebase ML kit and Cloud Functions • Experience with Cloud Vision API and document processing • Python knowledge for ML model development General Requirements:

• 3+ years experience in ML/AI development • Experience deploying ML models to production • Degree in Computer Science, AI, or related field • Strong problem-solving and analytical skills Preferred:

• Experience with logistics or transportation industry • Background in fraud detection systems • Knowledge of MLOps practices • Experience with distributed systems