Machine Learning Engineer

Company Overview Europe's leading online grocery delivery service. Using technology to deliver weekly shopping (25 000 SKUs) in less than three hours in 15 minute time slots, saving our customers time and giving them freedom and flexibility. The world needs a better food system, one that is more sustainable, more inclusive and which brings healthier and more personalised food to all. Rohlik Group is leading this change. In every city we carefully select the best quality and freshest local produce to save our customers time; from butchers to bakery, and fresh produce directly from farmers via our unique Farm-to-Door program. We carry all the favourite brands, plus a range of affordable own-label products, so our customers don’t miss out on what they love. Department Overview We develop solutions to optimize and automate operational and tactical decisions in Rohlik. We design and implement mathematical optimization models, simulation frameworks, and decision support systems to solve complex business problems. This position will directly support our workforce planning, shift scheduling, and supply chain efficiency initiatives. Role Overview This role's mission is to engineer the future of our company by building an autonomous and intelligent backbone for our core business processes. We are seeking a systems builder who is passionate about deploying production-grade ML to solve complex, real-world problems. You will build, deploy, and maintain features on our critical ML services. Working within our established architecture, you will solve complex technical challenges and ensure the reliability of our ML-powered products. Your key stakeholders will be business and product leaders from various departments. What we expect from you / the position to perform Main Deliverables Owns: Owns the development and maintenance of specific features and components within our ML services.. Contributes to the development and fine-tuning of our predictive engines., including models for forecasting, planning, and process optimization. The full MLOps lifecycle for business-critical ML services, including building robust CI/CD pipelines and implementing comprehensive observability and monitoring. Partners with: Business and product leaders to identify high-impact use cases for machine learning and AI. Provides input to: Actionable business improvements by translating complex algorithms and data insights into pragmatic solutions. Supports: The automation of decisions and minimization of manual intervention in core business processes through the use of AI and machine learning. The continuous enhancement of our business capabilities by proactively exploring and experimenting with new ML/AI trends. What we look for / what we require Required Foundational Experience: A strong background with proven proficiency in Python and SQL. Core ML Expertise: Proven, hands-on experience building and deploying time-series forecasting models for real-world applications and deep expertise in applying general ML methods to business challenges. Strategic & Collaborative Skills: A pragmatic, product-oriented mindset with a focus on delivering practical solutions that drive business value. Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. 3-5 years of experience in software or machine learning engineering Preferred Experience building and deploying applications on Google Cloud Platform (GCP). Experience combining traditional ML methods with LLMs is highly desirable. A degree in a relevant field like Mathematical Statistics or Computer Science is a plus. Experience deploying, monitoring, and maintaining ML systems in a production environment. Familiarity with containerization (Docker, Kubernetes) and CI/CD principles for machine learning. Knowledge of MLOps principles and tools for versioning, observability, and evaluation. Looking for a faster way to apply? As an alternative to submitting your application through the standard Apply button, you can complete your application immediately by chatting with our AI Interviewer, Alex. Alex will guide you through a short initial screening, provide more information about the role, and answer any questions you may have. Completing the conversation with Alex is considered your official application for this position. By clicking the link and proceeding, I confirm that I have read and understood the Privacy Policy . Apply with Alex: https://app.talentpilot.com/interview/tmdQK3D9EHw8bSVl3aC3 Why choose us? Fair reward - You’ll get a strong fixed salary, no bonus games, no politics. Great work is rewarded clearly and fairly. Good food every day - You’ll enjoy a free lunch every day and fresh fruit & veggies in the office. Because good food fuels great work. Life, not just work - You’ll have real flexibility three days in the office, 2 days at the Home Office where it suits you. And unlimited paid vacation based on trust. Personal growth - You’ll grow as fast as Rohlik does. Every challenge is a chance to learn and make an impact. Real impact - What you do here matters. You’ll see your work changing how people eat and live from day one. Recognition among colleagues - Your effort won’t go unnoticed. You can recognise others (and be recognised) through peer credits to use in our internal cafeteria. Xtra membership - You’ll get free Xtra membership and 10% cashback on everything you buy on Rohlik.cz . Sport & wellbeing - You’ll stay active with company sports challenges or a subsidised Multisport card. A team that sticks together - You’ll work with people who move fast, support each other and celebrate wins together. If this sounds like you - You’re someone who takes ownership, acts fast and gets things done. Ready to bake something great with us? #LI-ML1