ML engineer

Our client is a globally respected leader in maritime security, with a spotless legacy of safeguarding lives, vessels, and global trade. They’ve been at the forefront of vessel protection, port and offshore security, anti-piracy efforts, and the fight against drug trafficking - delivering precision-driven solutions in some of the world’s most demanding environments. Now, they’re embarking on an exciting new chapter - building a next-generation API system that will unify and streamline critical data flows across their operations. This project will form the backbone of a smarter, faster, and more secure infrastructure, empowering frontline teams with the tools they need to act decisively and efficiently. If you're passionate about using technology to solve real-world challenges and want to be part of a purpose-driven initiative with global impact, we’d love to hear from you.

You’ll be working at the intersection of cutting-edge ML techniques and real-world applications, with a strong focus on object detection for images and video.

Requirements:

- Proven track record of successful ML projects
- Hands-on experience with training, fine-tuning, and deploying ML models in production
- Strong proficiency in object detection (images and video) - familiarity with models like YOLO, Faster R-CNN, SSD, etc.
- Solid coding skills in Python and experience with ML frameworks (TensorFlow, PyTorch, etc.)
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field, or equivalent professional experience.
-Upper Intermediate level of English.

Responsibilities:

- Design, train, and deploy machine learning models with a focus on computer vision
- Work on real-time and batch pipelines for image and video analysis
- Optimize object detection algorithms for speed, accuracy, and scalability
- Collaborate cross-functionally with software engineers, data scientists, and product teams
- Stay updated on the latest ML research and apply relevant innovations to our solutions
 

Would be a plus:

- Experience with MLOps, model serving, or edge deployment
- Understanding of video stream processing (e.g., OpenCV, FFmpeg)
 

Work conditions

What do we propose? Please check the detailed description here: jobs.dou.ua/companies/codify