Natural Language Processing Engineer - Remote

Overview

We are seeking a skilled Natural Language Processing (NLP) Engineer with a strong foundation in pre-training techniques, state-of-the-art transformer architectures, and advanced post-training tools. This role will focus on developing, refining, and deploying cutting-edge NLP systems, including speech-to-text engines, retrieval-augmented generation (RAG) frameworks, and real-world applications of language models. You will collaborate with a multidisciplinary team to create robust, scalable solutions that address complex natural language challenges.

In Short

• Model Development and Pre-Training: Research and implement advanced pre-training techniques for NLP models.
• Fine-tune transformer-based architectures (e.g., BERT, GPT, T5) for domain-specific tasks.
• Develop and optimize retrieval-augmented generation pipelines.
• Evaluate and deploy automatic speech recognition (ASR) tools.
• Collaborate with DevOps teams to deploy NLP models in production environments.
• Build and maintain pipelines for tokenization and feature extraction.
• Optimize large-scale datasets for efficient model training.
• Minimum 3 years of professional experience in NLP or related fields required.
• Strong programming skills in Python and experience with relevant libraries.
• Knowledge of model deployment technologies is essential.

Requirements

• Bachelors, Masters, or PhD in Natural Language Processing, Machine Learning, or related field.
• Expertise in transformer architectures and pre-training methodologies.
• Experience with post-training tools and ASR engines.
• Strong programming skills in Python with relevant libraries.
• Familiarity with data processing tools is preferred.

Benefits

• Opportunity to work on cutting-edge NLP technologies.
• Collaborative and multidisciplinary team environment.
• Potential for career growth in a rapidly evolving field.
• Flexible working arrangements.
• Access to advanced tools and resources.