Lead AI Engineer - NLP Specialist

About the Role

Our client is looking for an experienced and innovative Lead AI Engineer with a specialization in Natural Language Processing (NLP) to join their fully remote team. In this leadership position, you will guide the development of advanced NLP solutions, architecting scalable systems that process and understand human language. You will play a crucial role in defining the technical direction, mentoring a talented team, and ensuring the delivery of high-quality AI-driven products. This role is ideal for a seasoned professional who is passionate about NLP, thrives in a remote-first setting, and seeks to drive significant impact through technological innovation and team leadership, contributing to the company's mission from anywhere in the world.

Key Responsibilities

• Lead the design, development, and deployment of large-scale NLP models and applications.


• Architect robust and scalable AI systems for language understanding, generation, and analysis.


• Mentor and guide a team of AI engineers and data scientists, fostering a culture of collaboration and technical excellence.


• Stay abreast of the latest advancements in NLP and related AI fields, identifying opportunities for innovation.


• Collaborate with product management and stakeholders to define project roadmaps and deliver impactful solutions.

Requirements

• Master's or Ph.D. in Computer Science, AI, Linguistics, or a related field.


• Extensive experience in NLP development, including expertise in areas like sentiment analysis, topic modeling, and machine translation.


• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.


• Proven experience leading technical projects and mentoring teams.


• Strong understanding of machine learning principles and data science methodologies.

Benefits

• Highly competitive salary and comprehensive benefits package.


• Fully remote work arrangement, offering flexibility and work-life balance.


• Generous budget for professional development, conferences, and training.


• Opportunity to work on challenging and impactful NLP projects.


• Access to cutting-edge cloud infrastructure and AI tooling.