Machine Learning Engineer - Computer Vision
Machine Learning Engineer - Computer Vision
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Job Description
Machine Learning Engineer Computer Vision
Location: Poland (Remote)
Employment Type: FullTime
Experience: Senior (5Years)
Join the Future of Digital Tech with Kolomolo
At Kolomolo we dont just follow trends we set them. As a global supplier of IT services and digital modernization solutions we help businesses embrace cuttingedge technology to optimize their operations. Now we are growing and looking for fresh talent to grow with us.
Are you proactive techsavvy 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 cuttingedge research and realworld application. Youll be driving the development and deployment of visionbased models tackling challenges across object detection tracking segmentation and image/video understanding.
What Youll 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 visionbased 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 multimodal models or synthetic data generation.
- Publications or opensource contributions in the field of computer vision.
- Familiarity with MLOps tools (MLflow DVC Docker etc.).
What is in It for You
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 worklife 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 mould. We offer:
- Agile Teams & Autonomy: No micromanagement. Youll own your projects and enjoy the freedom to innovate.
- WorkLife 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 cuttingedge 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!
Employment Type
Full Time
