AI/ML Engineer

About the job

Source Asia is revolutionizing industrial distribution with a full-stack platform combining digital procurement, hyperlocal fulfillment, and on-site inventory automation. Our mission is to help businesses optimize management of industrial consumables by reducing costs, boosting efficiency, and ensuring 100% uptime with solutions like Vendor Managed Inventory (VMI), data-driven supply chains, and last-mile control. By transforming traditional inventory practices, we ensure zero stockouts and lower total cost of ownership (TCO) for our clients. Located in the heart of innovation, Source Asia is committed to enabling smarter supply chain practices through technology. Role Description This is a full-time hybrid role for an AI/ML Engineer specializing in Diagram and GD&T (Geometric Dimensioning and Tolerancing) extraction. Based in Bengaluru, this role allows for partial work-from-home flexibility. The AI/ML Engineer will focus on developing algorithms for pattern recognition, extracting insights from engineering diagrams, and interpreting GD&T notations. Responsibilities include designing, training, and optimizing neural network models, applying statistical analysis, and implementing advanced machine-learning techniques for computer-vision-driven applications in industrial automation. Qualifications • Strong knowledge of Pattern Recognition and proficiency in Computer Vision techniques • Experience working with Neural Networks and Machine Learning models • Proficiency in core Computer Science concepts, including Data Structures and Optimization • Strong understanding of Statistics and experience designing and analyzing experiments • Expertise in Algorithms to solve computational and efficiency-related challenges • Proficient with programming languages such as Python, TensorFlow, or PyTorch • Experience with GD&T and familiarity with mechanical diagrams or similar technical standards is a plus • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field • Strong analytical skills, problem-solving abilities, and the capacity to collaborate with cross-functional teams.

Requirements

• Pattern Recognition
• Computer Vision
• Neural Networks
• Machine Learning
• Python

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Preferred Technologies

• Pattern Recognition
• Computer Vision
• Neural Networks
• Machine Learning
• Python