Senior Machine Learning Engineer – NLP

Overview

Our client, a trailblazer in artificial intelligence and emerging technologies, is seeking a highly skilled Senior Machine Learning Engineer specializing in Natural Language Processing (NLP) to join their innovative research and development team. This fully remote position allows you to contribute to groundbreaking projects from anywhere in the US.

• Design, develop, and implement advanced NLP models and algorithms.
• Utilize deep learning frameworks (e.g., Tensor Flow, PyTorch) for model training and inference.
• Work with large language models (LLMs) and fine-tuning techniques.
• Perform data preprocessing, cleaning, and feature engineering for text data.
• Evaluate and optimize model performance for various NLP tasks (e.g., text classification, NER, sentiment analysis).
• Deploy NLP models into production environments and monitor their performance.
• Collaborate with cross-functional teams to integrate NLP capabilities into applications.
• Stay abreast of the latest research and advancements in NLP and machine learning.
• Conduct experiments and research to explore new NLP methodologies.
• Document and present findings, methodologies, and results clearly.

• Master’s or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
• 5+ years of experience in machine learning, with a specialization in NLP.
• Strong programming skills in Python.
• Proficiency with ML/DL libraries such as Tensor Flow, PyTorch, scikit-learn, and Hugging Face.
• Deep understanding of various NLP techniques and architectures (e.g., Transformers, RNNs, CNNs).
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Ability to work independently and manage complex projects in a remote setting.
• Experience with large-scale data processing is a plus.