Senior NLP Data Scientist, REMOTE


  • 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, and prompt engineering – an advantage

  • B.Sc. in Computer Science, Software Engineering, Electrical Engineering, Mathematics, Physics or equivalent experience

    • We are looking for Senior NLP Data Scientist to join our Melingo team. 


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


    Melingo’s products include unique enterprise solutions for data retrieval insights, smart search engines, online dictionaries, and text-to-speech (TTS). Melingo also markets unique enterprise solutions worldwide in computational linguistics in various languages.


    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.



    ,[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: Python, NLP, Natural language processing, Deep learning, text-related neural network optimization, cloud computing platforms , MLOps tools, Data pipelines, Data engineering Tools: . Additionally: Private healthcare, International projects, Flat structure.
Data publikacji: 2024-05-13
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