NLP Data Scientist (offline) to $7000

Melingo AI, a subsidiary of Britannica, is a leading company for AI solutions based on natural language processing (NLP).

Natural Language Processing (NLP) is one of the most rapidly developing areas of software technology today. Melingo’s groundbreaking technology is unique within this field, in that it succeeds in breaking down text into workable components, using efficient algorithms, economical in data capacity

Melingo’s main areas of activity: speech technology, online dictionaries and various tools based on these dictionaries; advanced search engines based on morphological analysis, natural language queries, automated tagging, characterization/specification and routing of texts; smart text analysis according to customers’ needs in various languages.

We are looking for NLP Data Scientist to join us!

Responsibilities:
- Conducting research using various NLP techniques
- Apply NLP techniques and statistical analysis to extract and validate data
- Propose new ideas and directions of research, improvements, technical decisions and best practices.
- Sharing deep knowledge and expertise with team members to improve existing models
- Fully cover (develop, maintain and monitor) the entire lifecycle of created models
- Working on data science pipelines
- Share knowledge, ideas and new approaches with team members
- Stay up to date with the latest findings in applied data science

Requirements:
- 3+ years' experience developing software for production systems and/or internal infrastructure/tools
- Extensive knowledge of Python
- Experience working in Linux
- Experience in NLP related Deep Learning (utilizing standard frameworks such as TensorFlow, PyTorch, Hugging Face, etc…)
- Experience in text related neural network optimization (DeepSpeed, quantization, graph compilation, CUDA)
- Prior experience in working with cloud computing platforms (e.g. AWS, GCP, Docker, Kubernetes)
- Experience in MLOps tools, data pipelines or data engineering
High level of English
- Experience working with LLMs, prompt engineering – an advantage
- B.Sc. in Computer Science, Software Engineering, Electrical Engineering, Mathematics, Physics or equivalent experience