AI Engineer

At SingleInterface, we are redefining how multi-location brands connect with customers in an AI-driven digital world. Backed by $30M in funding from PayPal Ventures and Asia Partners, we are scaling our AI Retail Tech Platform to empower businesses with seamless digital presence management, AI-powered customer engagement, online reputation management, and store-level product & service integration. Our data-driven approach helps brands enhance customer experience, gain insights, and drive revenue growth. Our VisionMaking AI-driven solutions simple & accessible for hyperlocal businesses to manage complex digital marketing needs. Our GoalFuel growth for 10 million business locations by 2030 through advanced AI-powered frictionless experiences. Our Core Values

• Customer First – We put our customers at the heart of everything we do.
• Getting Things Done – Speed and execution define our approach.
• Being Authentic – We stay true to our people and mission.
• Being Finicky – We obsess over the details that matter.
• Being Techurious – We challenge the status quo with tech-driven solutions.

Role Summary We are seeking a dedicated artificial intelligence engineer to join our growing company. You will work as part of a diverse team of software engineers, data scientists, and machine learning (ML) experts to develop new models and algorithms to apply artificial intelligence to solve real-world problems and change the future.

As an artificial intelligence engineer, you will be expected to have a keen interest in artificial intelligence, machine learning, and staying current with the latest developments in a rapidly changing field. Your duties will include collecting and analyzing data sets to identify patterns and develop predictive algorithmic models. Responsibilities Below are some of the responsibilities an artificial intelligence, machine learning engineer is expected to assume in their position:

• Design and develop AI models to meet project requirements
• Convert AI/ML models into APIs that other developers can use
• Perform statistical analysis on big data sets
• Manage Existing APIs and Trained models ● Manage project infrastructure and the development of AI models and projects● Work with other machine learning engineers, data engineers, and AI engineers to develop machine learning models

• Bachelor's degree or several years of experience in computer science, data science, software development, or another related field; a master's degree is recommended
• Solid understanding of common programming languages used in AI, such as Python, Java, C++, and R
• Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability
• Experience working with large data sets and writing efficient code capable of processing large data streams at speed
• Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks
• Excellent communication skills