Senior LLM Engineer
RYTE Corporation, France
Job Description
About Us:
We're 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.
Joining our team as a Senior Large Language Model Engineer offers a unique opportunity to work on groundbreaking projects, make a significant impact in the NLP field, and drive the future of language processing technology. We are looking for an enthusiastic and talented individual to join us on this exciting journey of innovation and discovery.
This is a permanent employment contract.
The Position: Senior LLM Engineer
The Role:
As a Senior Large Language Model Engineer, you will lead the development and advancement of cutting-edge language models that push the boundaries of natural language processing (NLP) and artificial intelligence. Your expertise in building, fine-tuning, and optimizing large-scale language models will drive innovation and deliver state-of-the-art solutions to complex language-related challenges.
Responsibilities:
- Lead the design, architecture, and implementation of large-scale language models solutions, leveraging the latest advancements in NLP, machine learning, and deep learning.
- Collaborate with cross-functional teams, including researchers, data scientists, and machine learning engineers, to define project goals, prioritize tasks, and ensure successful model deployment.
- Conduct in-depth research and experimentation to improve model performance, language understanding, and generation capabilities.
- Optimize model efficiency and scalability to handle large-scale language datasets and real-world production environments.
- Explore and integrate external linguistic resources and knowledge bases to enhance the skills of language models.
- Stay updated with the latest developments in NLP, including new algorithms, tools, and frameworks, and apply them to enhance model capabilities.
- Lead and mentor junior engineers, providing technical guidance, code reviews, and best practices to foster a culture of excellence within the team.
- Evaluate model performance through rigorous testing and validation, ensuring high accuracy, reliability, and robustness.
- Continuously monitor and improve model performance in production, addressing any issues or anomalies.
Requirements
- A master's degree or Ph.D. in computer science, artificial intelligence, natural language processing, or a related field.
- Extensive hands-on experience in designing, developing, and optimizing large-scale language models, such as transformer-based models.
- Proficiency in programming languages like Python and experience with deep learning libraries such as TensorFlow or PyTorch, with a preference for PyTorch
- Strong understanding of NLP techniques, including word embeddings, attention mechanisms, sequence-to-sequence models, and transfer learning.
- Experience with Vector databases for LLM augmentation.
- Experience with the optimization of LLMs for efficient inference.
- Proven track record of successful NLP research projects or large-scale language model deployments.
- Deep knowledge of linguistics and syntactic structures to enable better language representation and understanding.
- Strong analytical and problem-solving skills to tackle complex NLP challenges and optimize model performance.
- Excellent communication and leadership skills to guide and collaborate with cross-functional teams effectively.
- Demonstrated ability to stay current with the latest research publications and trends in NLP and apply them to practical applications.
- Prior experience in mentoring and guiding junior engineers is a plus.
- Experience with the Azure cloud is a plus.
Benefits
- We provide Medical, Dental amp; Vision Insurance.
- Fix salary + Bonus plan.
- Hybrid work is OK within the limit of spending at least 3days/week
- In addit