Senior Machine Learning Engineer

at  Kitopi

Kitopi is the world’s leading tech-powered multi-brand restaurant. With a mission to satisfy the world’s appetite, Kitopi operates a portfolio of both invested and franchised F&B brands, serving as enablers in the food market by helping brands to grow and scale, both in the delivery and dine-in space.
Launched in Dubai, UAE in January 2018, Kitopi has grown to become one of the greatest success stories in the cloud kitchen and food tech space. In July 2021, Kitopi announced its $415 million Series C funding round, led by the world’s largest technology-focused investment fund, Softbank Group Corp’s Vision Fund 2. This investment catapulted Kitopi to the prestigious Unicorn status, making it the fastest Unicorn to have emerged from the MENA region.
As a leading food-tech business, Kitopi’s growth has been largely fueled by its innovative and scalable software solutions. Kitopi’s kitchens are powered by its proprietary Smart Kitchen Operating System (SKOS) - an in-house suite of applications that optimizes cloud kitchen operations in real-time. As part of its growth roadmap, technological innovation, data science, artificial intelligence, and robotics will take center stage as Kitopi continues to reinvent the food industry as we know it today.
With over 4,000 employees, Kitopi currently operates 200+ locations across the UAE, KSA, Kuwait, Bahrain, and Qatar, and runs its engineering hub in Krakow, Poland, its robotics hub in Denmark, and its global customer experience center in Dubai, UAE.
Together with the Product, Engineering, Data, AI, and Robotic departments, we are creating various applications starting from highly personalized selling apps (web & mobile), through the kitchen management system, customer service, delivery, control, and business applications which help us to make decisions and determine the further direction of product development and more. We currently have around 40 applications in microservice architecture and we will constantly be creating new ones.
At Kitopi, we’re on a mission to revolutionize the food industry with our innovative products and unique approach. We’ve already made waves by satisfying the world’s appetite and bringing joy to people’s lives. As a Machine Learning Engineer, you’ll be a key player in this journey, tackling unprecedented challenges and collaborating closely with our product and business teams. Your role involves spearheading the design, development, and deployment of innovative ML solutions. Join us in this dynamic position where your technical skills, problem-solving enthusiasm, and dedication to ongoing innovation will be instrumental in the success of our ventures. Be part of our team shaping the future of food and making a real impact!
As a Senior Machine Learning Engineer, you will lead our machine learning initiatives, driving innovation and implementing cutting-edge algorithms. You will be responsible for the end-to-end development and deployment of machine learning models, collaborating with cross-functional teams to solve complex business problems.

• Lead the design, development, and deployment of machine learning models and algorithms.
• Collaborate with cross-functional teams to identify business challenges and develop data-driven solutions.
• Conduct experiments (simple causal inference or AB tests) to evaluate model performance and contribute to data-driven decision-making.
• Demonstrate a data product mindset, aligning solutions with business objectives and contributing to the development of data-driven products.
• Independently handle complex projects, collaborating with senior stakeholders to deliver solutions meeting business needs.
• Simplify model details for business owners, effectively communicating the value and impact of machine learning models on business outcomes.
• Work closely with business and product counterparts at every stage of model development, ensuring alignment with goals and incorporating feedback.
• Mentor and guide junior team members, fostering a culture of continuous learning and improvement.
• Collaborate with data engineers and analysts to ensure seamless integration of machine learning models into production systems.
• Implement scalable and efficient machine learning solutions, considering performance, reliability, and maintainability.
• Contribute to documentation of models, algorithms, and best practices, facilitating knowledge sharing within the team.
• Bring experience from product-based companies to enhance the relevance and effectiveness of machine learning solutions.
• Conduct research to stay abreast of the latest advancements in ML and and contribute to the development of organizational standards by bringing in industry best practices.