AI Engineer (FoodTech) (MUMBAI LOCATION)

Company : LabelBlind®

Role : AI Engineer

Full-Time Role. Mumbai, India.

IMMEDIATE joining

LabelBlind is India’s 1st digital food labelling company. As a B2B SaaS startup focused on revolutionizing food labeling through innovative software solutions, our mission is to empower food businesses with tools that ensure compliance, accuracy, and efficiency in food labeling. Our suite of software solutions is designed for the food industry, targeting Food Export Companies, Domestic Packed Food Businesses, Food D2C and Ecommerce Companies, Hotels, QSRs, Catering companies, and International Food Companies (primarily in the GCC). Leveraging technologies like React with Redux, Node.js, MongoDB, AWS, computer vision, and large language models (LLMs), we are building smart, user-centric solutions.

The company is based out of Mumbai, seeking Mumbai based candidates only.

Job Description :

We are seeking an experienced and talented AI Engineer to join our dynamic team at a fast-growing Food Tech Startup based in Mumbai. As an AI Engineer, you will play a crucial role in developing and deploying innovative AI solutions that enhance our food-related services. Your expertise in OCR, computer vision, neural networks, object detection models, NLP, and generative AI will be instrumental in driving our company's success.

Role reporting to the VP - Engineering.

Responsibilities :

• Develop and implement OCR (Optical Character Recognition) systems to extract relevant information from food-related documents.
• Design and train object detection models using state-of-the-art techniques to recognize and categorize food items under relevant data sets.
• Utilize Natural Language Processing (NLP) techniques to extract insights from text data to improve our understanding of food products and enhance our services.
• Collaborate with cross-functional teams, including software engineers to integrate AI algorithms and models into our existing applications and platforms.
• Continuously evaluate and improve the performance of existing AI models by conducting rigorous testing, troubleshooting, and implementing enhancements.
• Participate in code reviews, provide constructive feedback, and maintain high-quality code standards to ensure the reliability, scalability, and maintainability of our AI systems.
• Document your work, including algorithm designs, methodologies, and experiments, to facilitate knowledge sharing and support future development efforts.

Requirements :

Knowledge of cloud platforms, such as AWS or Google Cloud, and experience with deploying AI models in production environments is a plus.

Important :