Ciklum is looking for a Machine Learning Engineer to join our team full-time in Slovakia. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As a Machine Learning Engineer with strong experience in computer vision, MLOps, and 3D point cloud data, become a part of a cross-functional development team engineering experiences of tomorrow. Responsibilities: - Develop and optimize ML models for brick‑shape recognition using point cloud (3D) data - Build and improve computer vision models for additional image‑based recognition tasks - Ensure ML development and deployment are aligned with internal MLOps standards, tooling, and pipelines - Collaborate with engineers, domain experts, and product teams to prototype, validate, and scale ML solutions - Participate in code reviews, architecture discussions, and continuous improvement activities Requirements: - Hands‑on MLOps experience (model lifecycle management, deployment, monitoring, MLFlow, CI/CD, etc.) - Solid experience with computer vision techniques and workflows - Practical experience working with 3D point cloud data - Strong software development skills, especially in: - Python - MLFlow - DevOps tooling - Strong problem‑solving skills and a curiosity-driven mindset - Ability to work both independently and as part of a team - Comfort working in an innovation-driven environment where direction evolves over time - Strong documentation and communication skills Desirable: - Experience with any of the following is an advantage: - Databricks - GPU-accelerated ML workloads - Docker and Kubernetes - Amazon S3 or similar cloud storage platforms - Software architecture patterns - Experience with hardware or machine‑building environments Personal skills: - Pragmatic approach to solving problems What`s in it for you? - Strong community: Work alongside top professionals in a friendly, open-door culture that values initiative and empowers its people to succeed - Fast-paced & agile environment: Be part of a dynamic, fast-moving organization that champions efficiency and innovation - Global exposure: Collaborate with international, cross-functional teams and contribute to large-scale initiatives - Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications - Flexibility: Balance office and remote work to fit your rhythm - Care: Take advantage of our extensive benefits offering, aligned with the best market standards The salary starts from 3500 Eur gross. The final salary depends on the previous experience and professional knowledge of the candidate. About us: At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. Our Slovakia hub brings together passionate professionals working on global initiatives. Be part of a close-knit team that’s driving digital transformation and creating lasting impact. Want to learn more about us? Follow us on Instagram, Facebook, LinkedIn, stop by one of our IT meetups Nalejvárna. Explore, empower, engineer with Ciklum! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

• Develop, train, and optimize machine learning models for various mobile app features. • Research and implement state-of-the-art AI techniques to improve user engagement and app performance. • Collaborate with cross-functional teams to integrate AI-driven solutions into our applications. • Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring. • Analyze large datasets to derive insights and drive data-driven decision-making. • Stay updated with the latest AI trends and best practices, incorporating them into our development processes. • Optimize AI models for mobile environments to ensure high performance and low latency.

• Develop, train, and optimize machine learning models for various mobile app features. • Research and implement state-of-the-art AI techniques to improve user engagement and app performance. • Collaborate with cross-functional teams to integrate AI-driven solutions into our applications. • Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring. • Analyze large datasets to derive insights and drive data-driven decision-making. • Stay updated with the latest AI trends and best practices, incorporating them into our development processes. • Optimize AI models for mobile environments to ensure high performance and low latency.

• Review and refine AI-generated outputs related to machine learning operations, deployment pipelines, monitoring, and practical aspects of MLOps • Evaluate AI responses for technical accuracy, operational reliability, and compliance with real-world requirements • Draft realistic MLOps scenarios based on your direct professional experience • Create scenario variations from different perspectives (e.g. MLOps engineer, data scientist, developer, or product owner) • Identify gaps, oversights, or weak reasoning in AI-generated MLOps content