Education Requirements:

• PhD in Mathematics and/or Computer Science

Experience Requirements:

• Experience in applying deep learning to computer vision

Other Requirements:

• Proficiency with PyTorch or similar deep learning framework

• Thorough understanding of state-of-the-art deep learning methods

• Extensive experience with Python

• Familiarity with software engineering best practices

• Analytical and scientific mindset

• Good communication skills

• Driven to solve medical problems

• Passionate about deep learning research

Responsibilities:

• Improve deep learning models

• Contribute to internal deep learning framework

• Deploy models into production

• Expand the range of tasks tackled with deep learning

• Research state-of-the-art methods

Education Requirements:

• Master's Degree

Other Requirements:

• Last year of studies (Bac+5/Master)

• Good command of Python and/or Java

• Scientific rigor and critical eye

• Good communication skills

• Strong interest in the medical field (knowledge of medical imaging/Dicom standard is a plus)

• Knowledge of databases

• Good level of English

Responsibilities:

• Ensure the quality and monitoring of annotations

• Participate in the reflection on annotation strategies and tools used

• Participate in the creation of datasets and reflection on the performance of AI algorithms

• Ensure the training of labelers

• Enrich natural language processing methods to optimize annotation

Education Requirements:

• University or research institute student

Experience Requirements:

• Basic knowledge of computer programming in Python language

• Minimum understanding of machine learning

• Illustrative GitHub account

Benefits:

• Reasonable expenses may be reimbursed

Benefits:

• Flexible culture in terms of ways of working

• Remote work

• Paid time off

• Multicultural work environment

• Strong ratings on Glassdoor

Benefits:

• Remote work format or from a comfortable office in Cyprus

• Unique opportunity to become part of a company driving cutting-edge projects in Computer Vision and OpenCV technologies

• Excellent work-life balance: Flexible start to the workday, and a supportive vacation and sick leave policy

• Health insurance and a wide range of benefits

Education Requirements:

• university degree in Economics or Finance

Experience Requirements:

• At least 3 years of experience in a similar role, preferably in an international company

• Practical experience in payroll processing, employee relations, and managing documentation in international companies

• Proficiency in Excel for preparing management reports and conducting analyses

• An English proficiency level of B2 or higher

• An analytical mindset and flexibility to adapt to a dynamic environment

Responsibilities:

• Payroll Management

• Reporting and Analysis

• Operational Support and Cross-Functional Collaboration

• Document Management

• Employee Assistance

Benefits:

• Employee Friendly Policies, Processes

• Insurance Benefits

• Rewards and Recognition

• Travel and Accommodation

• Continuous Learning Opportunities

Experience Requirements:

• 5-9 years

• 8+ years

• 5-8 years

• 4-7 years

• 4-8 years

Benefits:

• Employee Friendly Policies, Processes

• Insurance Benefits

• Rewards and Recognition

• Travel and Accommodation

• Continuous Learning Opportunities

Experience Requirements:

• Self-motivated

• Strong analytical skills

• Problem-solving mindset

• Broad knowledge of sports

• Ability to collaborate within a team

Other Requirements:

• Good written and spoken English

• Flexibility regarding shift work

• Knowledge of eSports (plus)

Responsibilities:

• Managing daily operations of a premier Sports Data product

• Leveraging real-time data analysis

• Collaborating and producing data effectively

Experience Requirements:

• Strong communication skills (written and spoken English)

• Background in customer service (preferred)

• Solid interest in sports

• Self-motivated and team-oriented

• Ability to work flexibly (including night shifts)

Responsibilities:

• Managing communications for support processes related to sports data

• Ensuring efficient resolution of client queries

• Enhancing knowledge of different teams' responsibilities globally

• Contributing to quality assurance efforts

• Reporting issues and product improvements