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Machine Learning Engineer
Rohlik GroupMachine Learning Engineer developing, deploying, and maintaining ML-driven solutions at Rohlik Group. Focusing on optimizing core business processes through advanced machine learning techniques.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Python and SQL for developing and maintaining machine learning services, with a strong focus on building and deploying time-series forecasting models. Capable of translating complex algorithms into actionable business insights while collaborating effectively with stakeholders to drive value.
Highest-signal resume keywords
Python ProficiencySQL ProficiencyTime-Series ForecastingMLOps Lifecycle ManagementMachine Learning Engineering
ATS Keywords
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Hard Skills
Machine LearningPredictive ModelingCI/CD Pipeline DevelopmentProcess OptimizationData Insights Translation
Soft Skills
Excellent CommunicationStrategic MindsetCollaboration
Industry Keywords
ML ServicesAIBusiness ValueAutomationObservability
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- 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.