Senior NLP Engineer (225-816)

A Senior NLP (Natural Language Processing) Engineer plays a pivotal role in advancing the capabilities of language processing technologies. Working within an interdisciplinary team, the Senior NLP Engineer leverages cutting-edge machine learning algorithms and linguistic patterns to develop, enhance, and optimize NLP-focused applications and systems. This role requires a deep understanding of computational linguistics and machine learning frameworks, along with a strategic mindset to solve complex language processing challenges. The ideal candidate will be adept at integrating NLP technologies into existing systems and spearheading innovative projects that harness the power of language data to generate actionable insights. In this highly technical and dynamic position, the Senior NLP Engineer is expected to stay abreast of industry trends, mentor junior team members, and contribute to the organization's overall product development strategy.

Responsibilities

• Design and implement NLP algorithms that enhance language processing capabilities and performance.
• Collaborate with cross-functional teams to integrate NLP features into existing software solutions.
• Lead research initiatives to identify new NLP technologies and methodologies for potential adoption.
• Create and maintain comprehensive documentation of developed NLP models and algorithms.
• Mentor, guide, and support junior engineers and data scientists in NLP projects.
• Analyze and preprocess raw text data to ensure usability in various NLP applications.
• Optimize machine learning models for improved accuracy and reduced processing time.
• Monitor NLP system performance and implement necessary improvements or updates.
• Collaborate with product management to align NLP technology with business objectives.
• Stay updated on the latest trends and research in NLP and related fields.
• Participate in code reviews to ensure code quality and reliability in NLP projects.
• Conduct and evaluate A/B tests to assess the impact of NLP feature implementations.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in developing and deploying NLP algorithms and models.
• Strong proficiency in programming languages such as Python, Java, or C++.
• Experience with NLP frameworks such as TensorFlow, PyTorch, or spaCy.
• Solid understanding of machine learning concepts and statistical analysis.
• Excellent problem-solving skills and ability to work in a team-oriented environment.
• Strong analytical skills with the ability to interpret complex language data effectively.