Senior NLP Engineer (225-929)

As a Senior NLP Engineer, you will play a pivotal role in developing advanced Natural Language Processing systems that have a significant impact on our products and services. You will engage with the latest NLP technologies, working on projects ranging from sentiment analysis to language generation, driving innovation and excellence in our applications. Your expertise will be essential in transforming unstructured data into valuable insights, contributing to the enhancement of user experiences and broadening the capabilities of our AI-enabled systems. This role is ideal for an innovative thinker with a passion for language technologies and a dedication to exploring the intricacies of linguistic data. If you are ready to advance your career in a high-impact environment and contribute to ground-breaking AI solutions, we would love to hear from you.

Responsibilities

• Design and develop state-of-the-art NLP models and solutions for various applications.
• Collaborate with cross-functional teams to integrate NLP capabilities into new and existing products.
• Conduct research to identify emerging trends and techniques in the field of Natural Language Processing.
• Mentor and guide junior engineers, fostering a collaborative and innovative team environment.
• Optimize and fine-tune NLP algorithms for improved accuracy and performance in real-time applications.
• Deploy and maintain large-scale NLP services, ensuring reliability and scalability.
• Analyze and interpret complex datasets to extract meaningful patterns and insights.
• Develop multilingual NLP systems to cater to a global audience with diverse languages.
• Collaborate with data scientists to align NLP models with broader machine learning objectives.
• Prepare comprehensive documentation and reports on NLP project outcomes and methodologies.
• Engage with stakeholders to gather requirements and deliver solutions that meet business needs.
• Continuously evaluate and implement advanced NLP frameworks and libraries to enhance team effectiveness.

Requirements

• Bachelor's or Master's degree in Computer Science, Linguistics, or a related field.
• Proven experience in developing and deploying NLP models and systems.
• Strong understanding of machine learning techniques and deep learning frameworks.
• Proficiency in programming languages such as Python, Java, or C++.
• Experience with NLP libraries like NLTK, SpaCy, BERT, or similar tools.
• Excellent analytical and problem-solving skills to tackle complex NLP challenges.
• Ability to communicate technical concepts effectively to non-technical stakeholders.