CodeIT

CodeIT is a service product development company. We know how to transform business ideas into profitable IT products. We are looking for a skilled and experienced Flutter Developer to join our team.

Our client is one of the largest indoor tanning salon chains in the United States, operating hundreds of locations nationwide.
The company has embarked on a full-scale digital transformation aimed at enhancing convenience, personalization, and service accessibility for its customers across the country.

Requirements

• At least 5+ years of mobile development (preferably Android) with at least 4 years specializing in Flutter
• Proficiency in Dart programming language
• Strong understanding of the Flutter framework and its core principles
• Experience with third-party libraries and APIs
• Solid understanding of the full mobile development life cycle
• Experience with BloC architecture, Dio
• Experience with custom UI implementation
• Understanding of REST principles
• Good knowledge of multithreading and memory management
• Familiarity with cloud message APIs and push notifications
• Experience with continuous integration
• Good spoken and written English (upper-intermediate and higher)
• Independently forming technical specifications and short-term plans based on high-level feature descriptions / feature briefs.

Nice to have

• Experience with unit testing
• Experience with delivering apps to Google Play or App Store
• Experience in integrating 3rd-party services such as Firebase, Facebook SDK
• Experience with GraphQL
• Communicating directly with the client to clarify requirements and transform them into actionable technical tasks

Responsibilities

• Design and build advanced applications for the Android/iOS platforms from scratch
• Work with outside data sources and APIs
• Implement custom UI elements
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency
• Conduct cross-reviews
• Mentor less experienced engineers
• Bug fixing and support of previous app versions
• Create project/tech documentation
• Communication with stakeholders (native speakers)

Being a member of the CodeIT team means

• Career Path and growth opportunities (seniority level system, individual development plan, technical leads)
• Compensation of participation in conferences and workshops, invited experts
• Development of soft skills (people management and emotional intelligence training)
• Free access to the company account on Udemy educational platform
• Internal library
• Corporate English courses and communication with clients from English-speaking countries
• Experienced and supportive team members
• Paid time off (vacation, sick-leave, remote work)
• Legal support

We are looking for a Strong Junior Computer Vision Engineer (2+ years of hands-on experience) to join one of our long-term projects, working with us on a contract basis.

The project focuses on early detection of damage in steel cables and other critical infrastructure components using AI, computer vision, and simulations to enhance reliability and reduce downtime.

Key Requirements (2+ years experience in CV/ML):
• Strong practical experience in Computer Vision (image segmentation, basic video segmentation, classifiers).
• Hands-on skills with PyTorch and common CV model architectures.
• Experience working with small/limited datasets and applying data-efficient training approaches.
• Basic understanding of GPU performance and parallelization concepts.
• Experience with ML pipelines (training, validation, labeling tools like Label Studio / MLflow).
• Strong English (B2 and above) - ability to communicate clearly with the team and document technical work.

Responsibilities:
• Support and optimize CV models (segmentation/classification) for industrial real-time use cases.
• Maintain training, inference, and validation pipelines with guidance from senior team members.
• Prepare models for deployment on edge hardware (Jetson Thor) and test performance on new devices.
• Improve data efficiency and training workflows for limited datasets.
• Generate automated evaluation reports and ensure model quality.
• Contribute to continuous improvement of the CV pipeline and overall system reliability.