Established in 1988, our client has built an outstanding reputation within the marine and offshore industry, specializing in servicing, repairing, and maintaining cranes for ships and offshore platforms.
They have opened worldwide offices, service stations, and crane-focused workshops at 16 global strategic locations, meeting the growing needs of their clients. (UK, Singapore, Hong Kong, Houston, Germany, Middle East, Indonesia, Mexico, Shanghai, Turkey, Brunei, India)
We are proud to be recruiting once more for their Nicosia, Cyprus team, this time we are on the hunt for a Data Scientist.
Job Description
- Utilize YOLO to create and optimize models for detecting tables in various document formats (PDFs, scanned images, etc.), ensuring high accuracy and reliability
- Leverage OpenAI technologies to develop advanced OCR models that can accurately recognize and extract text from images, scanned documents, and tables
- Work on data preprocessing, including annotating tables and text in images, to build robust training datasets
- Train and fine-tune models for specific document types and layouts to improve the detection and OCR performance
- Continuously monitor model performance in production, troubleshoot issues, and implement enhancements to improve accuracy and efficiency
- Stay up-to-date with the latest advancements in computer vision, OCR, and AI technologies, and apply this knowledge to innovate and improve our solutions
Your Profile
- Previous work experience of 2-3 years in a similar role
- Proficiency in Python and libraries such as TensorFlow, PyTorch, OpenCV, and scikit-learn
- Experience with natural language processing (NLP) and document analysis
- Strong understanding of machine learning algorithms, neural networks, and deep learning architectures
- Experience with data annotation tools and techniques for building training datasets
- Fluency in English is essential
- Able to work remotely with colleagues in other countries as well as in real time with local colleagues and teams
Benefits
- Monday to Friday, 08:00 – 17:00
- Holiday: 35 days including public holidays
- Hybrid working pattern
- Profit share bonus
- 4% Pension after 12 months of employment
- 3 month probationary period
