Rohlik Group Logo

Rohlik Group

Machine Learning Engineer

Posted Yesterday
Be an Early Applicant
Hybrid
Pagès
Mid level
Hybrid
Pagès
Mid level
Design, build, deploy, and maintain production-grade ML features and services (especially time-series forecasting). Own MLOps lifecycle (CI/CD, monitoring), partner with product and business stakeholders to deliver pragmatic ML solutions that automate decisions and improve operational efficiency.
The summary above was generated by AI
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 performMain 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 requireRequired
  • 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

Similar Jobs

10 Hours Ago
In-Office
Mid level
Mid level
Fintech • HR Tech • Insurance • Consulting
As a Client Manager in Business Insurance, you'll assist clients with service and risk management, manage relationships, and resolve issues, driving growth and delivering top-notch service.
Top Skills: EpicImagerightSagitta
2 Days Ago
Hybrid
Mid level
Mid level
eCommerce • Food • Retail • Software
The Operations Associate will support executive operations, manage business processes, coordinate events, and develop internal systems to ensure organizational efficiency and compliance.
Top Skills: AIProject Management Tools
2 Days Ago
Hybrid
Mid level
Mid level
eCommerce • Food • Retail • Software
As a Private Label Category Manager, you will oversee product development from concept to launch, manage supplier relationships, and ensure product quality in the private label category.

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account