Senior Data Scientist (Machine Learning Engineer)
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Summary
Remote (Poland-based)
Full-time
Senior
About this Job
Ciklum is looking for a Senior Data Scientist (Machine Learning Engineer) to join our team full-time in the Poland.
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 Senior Data Scientist (Machine Learning Engineer), become a part of a cross-functional development team engineering experiences of tomorrow. Machine Learning Engineerwith strong experience incomputer vision,MLOps, and3D point cloud datato help build and scale intelligent systems that recognize and classify physical brick shapes. In this role, you will design, develop, and optimize ML models that leverage point cloud and image data, while ensuring that our workflows align with internal MLOps best practices. You will work in a highly innovative environment where solutions are not predefined, requiring both curiosity and autonomy. Collaboration is key, and you will engage closely with cross-functional teams to bring cutting‑edge ML capabilities into production.
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 skill
Desirable:
- 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
- Pragmatic approach to solving problems
What`s in it for you?
- Strong community: Work alongside top professionals in a friendly, open-door environment
- Growth focus: Take on large-scale projects with a global impact and expand your expertise
- Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
- Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
- Flexibility: Enjoy flexibility – full remote working possibilities
- Care: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations
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. With delivery centers in Wrocław and Gdańsk, our 300+ professionals in Poland drive forward-thinking solutions for global clients. Join a community where collaboration sparks innovation—and your impact reaches millions.
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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.
About the Company
