Middle ML Engineer

Anastasiia Durnieva

Recruiter

a.durnieva@geniusee.com

+380 95 899 34 46

@stasy2000

Apply now

Requirements

2–4 years of experience in computer vision or related fields;
Solid understanding of CNNs and object detection frameworks (e.g., YOLO, RetinaFace, SSD);
Proficiency in Python and deep learning frameworks (PyTorch or TensorFlow);
Experience with image preprocessing, augmentation techniques, and OpenCV;
Familiarity with evaluation metrics such as precision, recall, and mAP;
Good problem-solving skills, attention to detail, and eagerness to learn.

What you will do

Communication: Contribute as part of a scrum team dedicated to building high-quality computer vision solutions. Maintain a positive, polite, and open-minded communication style;
Collaboration: Collaborate effectively with team members and cross-functional teams working on product and model integration;
Documentation: Keep comprehensive and detailed documentation of model architectures, training procedures, and evaluation results;
Continuous improvement: Follow the latest research and best practices in computer vision and deep learning, applying new findings to improve models and workflows;
Planning: Participate in estimation and planning sessions for model development and integration.
Model Development:
Design and train CNN-based models for object detection and face detection (e.g., YOLO, RetinaFace, SSD);
Apply data augmentation and preprocessing techniques to improve model robustness;
Use deep learning frameworks such as PyTorch or TensorFlow for model development and experimentation;
Evaluation and Optimization:
Evaluate models using metrics like precision, recall, and mAP;
Analyze and fine-tune models based on evaluation results to meet performance targets;
Computer Vision Engineering:
Implement image preprocessing pipelines using OpenCV and related libraries;
Contribute to prototyping and early deployment phases of ML models;

What you will get

● Competitive salary and good compensation package;
● Exciting, challenging and stable startup projects with a modern stack;
● Corporate English course;
● Ability to practice English and communication skills through permanent interaction with clients from all over the world;
● Professional study compensation, online courses and certifications;
● Career development opportunity, semi-annual and annual salary review process;
● Necessary equipment to perform work tasks;
● VIP medical insurance or sports coverage;
● Informal and friendly atmosphere;
● The ability to focus on your work: a lack of bureaucracy and micromanagement;
● Flexible working hours (start your day between 8:00 and 11:30);
● Team buildings, corporate events;
● Paid vacation (18 working days) and sick leaves;
● Cozy offices in 2 cities ( Kyiv & Lviv ) with electricity and Wi-Fi (Generator & Starlink);
● Compensation for coworking (except for employees from Kyiv and Lviv);
● Corporate lunch + soft skills clubs;
● Unlimited work from home from anywhere in the world (remote);
● Geniusee has its own charity fund.

Please be informed that the data administrator is Geniusee LLC with headquarter at BC Y4, Yaroslavsky Lane 4, 04071, Kyiv, Ukraine. Processing of personal data is carried out in accordance with the Law of Ukraine "On Protection of Personal Data" dated 01.06.2010 No. 2297-VI. You have the right to request access to your personal data, their release, removal or restriction of admission, the right to make a warning against admission, as well as the right to transfer the data and to make arrangements. The submission of data is voluntary and this personal data is processed in order to manage candidate applications and recruitment (selection process, interview follow-up, your job alerts management). Refusal to provide these obligations may result in a lack of opportunity to conduct the recruitment process.

Candidate personal data is addressed to Geniusee and is available to our recruitment teams, our employees involved in the recruitment process, our HR teams, and our IT teams which administrate our tools. As a part of our recruitment process evaluation, some of your data (name, surname, email address) may be used in charge of organizing events during which we may invite certain candidates.