Machine Learning Engineer - NLP

About the Role

Our client is seeking a dedicated Machine Learning Engineer with a specialization in Natural Language Processing (NLP) to join their innovative team, fully remotely based. You will be at the forefront of developing sophisticated NLP models that power intelligent features within our products, enhancing user interaction and extracting valuable insights from text data. This role offers the chance to work on diverse and challenging projects, contributing directly to the evolution of our AI capabilities from the comfort of your own home office.

Key Responsibilities

• Design, train, and deploy advanced NLP models for tasks such as text classification, sentiment analysis, named entity recognition, and language generation.
• Develop and maintain scalable ML pipelines for data preprocessing, feature engineering, and model evaluation.
• Collaborate with software engineers to integrate NLP models into production systems and APIs.
• Conduct research into novel NLP techniques and algorithms to improve model performance and explore new applications.
• Analyze and interpret large volumes of text data to identify trends and derive actionable insights.
• Ensure the ethical and responsible development and deployment of AI technologies.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Linguistics, or a related field.
• Proven experience in Machine Learning Engineering with a strong focus on NLP.
• Proficiency in Python and relevant NLP libraries such as NLTK, spaCy, Hugging Face Transformers, and Gensim.
• Hands-on experience with deep learning frameworks like TensorFlow or PyTorch.
• Solid understanding of language modeling, word embeddings, and sequence-to-sequence architectures.
• Experience working with large text corpora and cloud-based ML platforms is advantageous.

Benefits

• Competitive salary and performance-based bonuses.
• Fully remote work arrangement with flexible hours.
• Comprehensive health, dental, and vision insurance coverage.
• Generous allowance for home office setup and professional development.
• A collaborative and inclusive remote work culture with regular virtual team events.