AI NLP Engineer
RYTE Corporation, Kazakhstan

About Us:

We are a team of physicians, healthcare executives, data scientists, and Tech experts committed to empowering anyone, anywhere with the insights they need to make well-informed healthcare decisions. Through the combined power of AI and big data, we have created the first all-in-one solution that provides our users with everything they need to know about medical professionals and facilities. RYTE transforms the comprehensive data we collect on millions of healthcare providers and medical experts worldwide into knowledge that helps individuals and organizations navigate healthcare systems. Headquartered in Toronto (Canada) and having operations in Canada, France, Kazakhstan, and the Philippines, you will join a truly international, multi-cultural, and dynamic workforce driven toward building something unique and that affects Life and Healthcare on a global scale. For more information about Us, please connect with us at www.ryte.ai.

The Senior NLP Engineer will contribute to pushing the boundaries of natural language processing capabilities and driving innovation within the company’s linguistic technology initiatives.

This is a permanent contract (CDI) in France.

The Position: NLP Engineer

Summary

As part of the AI and data engineering department, you will work side to side with a team of AI engineers, architects and data scientists located in multiple countries to perform research and development on AI-based technologies applied to Healthcare Analytics.

The NLP Engineer plays a crucial role within the research and development team focused on linguistic technologies. The primary responsibility of this role is to design, develop, and enhance advanced NLP solutions to meet the company’s needs across various domains, working with structured, semi-structured and non-structured data coming from a wide variety of public and private data sources. The role will be expected to contribute to the design, conception, creation, development, implementation and testing of different NLP AI algorithms to help measure, map, correlate, disambiguate and track the quality of Ryte’s rich database. The position requires in-depth expertise in computational linguistics, artificial intelligence, programming, and a strong understanding of fundamental NLP concepts.

The Role:

As part of the AI and data engineering department, you will work side to side with a team of AI engineers, architects and data scientists located in multiple countries to perform research and development on AI-based technologies applied to Healthcare Analytics.

Responsibilities:

1. Research and Development:

• Design and develop advanced NLP models, such as entity disambiguation, text generation, machine translation, sentiment analysis that will form the core of our solutions.
• Define appropriate datasets for language learning.
• Experiment with the latest advancements in NLP research and incorporate them into development projects.
• Manage project timelines, milestones, and deliverables autonomously, ensuring timely and successful completion of projects.
• Identify risks and potential roadblocks, and proactively develop strategies to mitigate them.

2. Optimization and Enhancement:

• Analyze and improve the performance of existing NLP models in terms of accuracy, speed and efficiency.
• Optimize text processing pipelines to handle large volumes of data.

3. Collaboration:

• Work closely with other engineers, data scientists and researchers to solve complex natural language processing challenges.
• Participate in meetings and discussions to share ideas, findings, and recommendations with internal stakeholders.

4. Validation and testing:

• Design testing protocols to evaluate the quality and performance of NLP models.
• Train the developed model and run evaluation experiments.
• Stay updated on the latest trends and advancements in NLP by reading research papers, and tracking relevant open source projects.

Requirements

Requirements

Required Skills:

• Advanced knowledge in Natural Language Processing, with a deep understanding of language models, syntax, semantics, etc.
• Master degree or PhD in Engineering, Data Science or Computer Science
• Proficiency in machine learning techniques, including deep learning frameworks and algorithms (Pytorch, TensorFlow)
• Strong programming skills, preferably in languages such as Python, SQL
• Experience with NLP libraries and tools, like Transformers and Huggingface.
• Experience in fine-tuning pre-trained large language models for specific tasks
• Solid knowledge of

Job Rewards and Benefits