Machine Learning Engineer - Computer Vision
First seen by Alion on Oct 8, 2026.
🚀 Machine Learning Engineer - Computer Vision
Location: Poland (Remote)
Employment Type: Full-Time
Experience: Senior (5+Years)
Join the Future of Digital Tech with Kolomolo
At Kolomolo, we don’t just follow trends - we set them. As a global supplier of IT services and digital modernization solutions, we help businesses embrace cutting-edge technology to optimize their operations. Now, we are growing and looking for fresh talent to grow with us.
Are you proactive, tech-savvy, and eager to build your career in IT? This role could be your perfect fit.
About the Role
We are seeking an experienced Machine Learning Engineer with a strong focus on Computer Vision to join our advanced AI team. This is a key role for someone who thrives at the intersection of cutting-edge research and real-world application. You’ll be driving the development and deployment of vision-based models, tackling challenges across object detection, tracking, segmentation, and image/video understanding.
What You’ll Be Doing
Design, build, and deploy scalable computer vision systems using deep learning.
Develop models for tasks such as classification, detection, segmentation, and visual quality assessment.
Collaborate with data scientists and engineers to refine data pipelines and training datasets.
Optimize models for performance across cloud and edge platforms.
Stay up to date with the latest in computer vision research and apply relevant advancements.
What We Are Looking For
5+ years of experience in Machine Learning, with at least 3 years focused on computer vision.
Proven track record of delivering vision-based ML products or research.
Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow).
Strong Python programming skills; familiarity with OpenCV and image processing libraries.
Solid understanding of convolutional neural networks (CNNs), transformers, and related architectures.
Experience with model optimization and deployment on cloud or edge devices.
Nice to Have
Experience with video analytics, multi-modal models, or synthetic data generation.
Publications or open-source contributions in the field of computer vision.
Familiarity with MLOps tools (MLflow, DVC, Docker, etc.).
What is in It for You
Competitive salary and benefits.
Career development opportunities in a growing tech company.
Continuous learning culture: mentorship, internal training, and certifications.
Flexible, agile work environment (hybrid, or on-site in Kraków).
Office perks: great coffee, tea, fresh fruit, snacks, and a fun atmosphere.
Flat management structure, where your voice matters.
Regular team events and a social, supportive work culture.
B2B contract or Contract of Mandate (Umowa Zlecenie)
🌟 Why Join Kolomolo?
At Kolomolo, we prioritize innovation, agility, and autonomy. Our teams have the freedom to own their work, share ideas, and make meaningful contributions. Inspired by Scandinavian values, we believe in work-life harmony and creating an inclusive culture where everyone thrives.
You will be part of a passionate, skilled, and friendly team that works hard and celebrates together. Here, you can build your career on your own terms, with opportunities to grow, learn, and make a real impact.
Our Flat Structure & The Culture of Inclusion
At Kolomolo, we break the corporate mold. We offer:
Agile Teams & Autonomy: No micromanagement. You’ll own your projects and enjoy the freedom to innovate.
Work-Life Harmony: Inspired by Scandinavian values, we prioritize balance and flexibility, where remote work and asynchronous collaboration are in our DNA.
Learning & Growth: Continuous learning is at our core. We reward hard work, value smart ideas, and foster an environment of mutual respect and trust.
Inclusive Culture: We believe in DEI: diversity, equity and inclusion. We are committed to creating an environment where every individual, regardless of background, identity, or experience feels valued, respected, and empowered to thrive.
Join Kolomolo and elevate your career with cutting-edge technology, a supportive team, and a company that truly values your input.
Ready for the next step? Apply now and start an exciting journey of growth and innovation with us!
Tech stack
- Machine Learning
- Deep Learning
- Python