
Advanced NLP Model Developer
3 days ago
Unlock the Power of NLP
">At our cutting-edge technology firm, we're on a mission to revolutionize the way businesses interact with their customers. Our team is dedicated to harnessing the power of Natural Language Processing (NLP) to create innovative solutions that drive growth and success.
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- We're seeking a skilled Intermediate NLP Engineer to join our dynamic team. In this role, you'll work on developing robust, scalable systems that power modern NLP applications.">
- You'll be responsible for working with Large Language Models on a production setting where scalability and latency matter.">
- Develop and implement solutions leveraging open and closed-source LLMs, including hands-on experience with techniques like function-calling to integrate with external tools and APIs.">
- Build and optimize advanced Retrieval-Augmented Generation (RAG) systems to enhance LLM performance with external knowledge sources.">
- Implement and experiment with advanced model evaluation techniques, including the use of LLM-as-a-judge paradigms to assess and improve model quality.">
- Conduct rigorous text parsing and analysis to structure and extract valuable information from unstructured data.">
- Build and maintain NLP pipelines and workflows to process large-scale text data.">
- Collaborate with cross-functional teams, including product management, data science, and software engineering to integrate NLP models into products and services.">
- Continuously evaluate and improve the performance and accuracy of NLP models and systems.">
- Stay up-to-date with the latest NLP research and trends, and identify opportunities for innovation and improvement in our NLP models.">
Requirements:
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- Background in Computer Science, Electrical Engineering, Mathematics, or related field.">
- Solid foundation in object-oriented programming (OOP) principles and software engineering best practices.">
- 2+ years of experience in NLP development, with demonstrated expertise in designing and implementing NLP models and algorithms.">
- Understanding of the ML project lifecycle.">
- Proven experience with using and evaluating Large Language Models in production settings.">
- Experience with running experiments in GPUs provided in cloud-based infrastructure such as AWS, Google Cloud, or Azure.">
- Excellent analytical and problem-solving skills, with a passion for data-driven insights and solutions.">
- Strong communication and collaboration skills, with the ability to work effectively in a team environment.">
- Proficient in spoken and written English.">
Benefits:
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- A competitive salary package and bonus scheme.">
- A monthly allowance for lunch and commuting expenses.">
- A learning budget for ongoing education.">
- Clear career paths and growth opportunities.">
- A relocation package and 'Brain Gain' relocation bonus for Greek expats.">
- The opportunity to work with a dynamic and innovative team, pushing the boundaries of NLP and AI.">
About Us:
">We're a leading technology firm dedicated to harnessing the power of NLP to create innovative solutions that drive growth and success. With a strong focus on innovation and collaboration, we're committed to making a positive impact in the world.
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