Machine Learning Engineer (Computer Vision)

TL;DR

Machine Learning Engineer (Computer Vision): Developing and optimizing ML models for brick‑shape recognition using 3D point cloud data and image‑based recognition tasks with an accent on MLOps standards and computer vision workflows. Focus on prototyping, validating, and scaling ML solutions within an innovation-driven environment.

Location: Hybrid in Slovakia (Balance of office and remote work)

Salary: from €3,500 gross

Company

Custom product engineering company supporting multinational organizations and scaling startups to solve complex business challenges.

What you will do

• Develop and optimize ML models for brick‑shape recognition using 3D point cloud data.
• Build computer vision models for additional image‑based recognition tasks.
• Align ML development and deployment 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 and architecture discussions.

Requirements

• Must be based in or have the ability to work in Slovakia.
• Hands‑on MLOps experience (model lifecycle management, deployment, monitoring, MLFlow, CI/CD).
• Solid experience with computer vision techniques and workflows.
• Practical experience working with 3D point cloud data.
• Strong software development skills in Python and MLFlow.
• Strong documentation and communication skills.

Nice to have

• Experience with Databricks and GPU-accelerated ML workloads.
• Knowledge of Docker and Kubernetes.
• Experience with Amazon S3 or similar cloud storage platforms.
• Understanding of software architecture patterns.
• Experience with hardware or machine‑building environments.

Culture & Benefits

• Flexible work arrangement balancing office and remote work.
• Access to tailored learning via internal events, Udemy, language courses, and paid certifications.
• Global exposure through collaboration with international, cross-functional teams.
• Friendly, open-door culture that values initiative.
• Extensive benefits package aligned with market standards.