Remote AI​/ML Engineer - Natural Language Processing

Our client is looking for a talented Remote AI/ML Engineer specializing in Natural Language Processing (NLP) to join their innovative team. This is a fully remote opportunity, enabling you to contribute to cutting-edge AI projects from anywhere. You will be responsible for developing, training, and deploying sophisticated NLP models to understand and generate human language, driving advancements in areas such as chatbots, sentiment analysis, machine translation, and text summarization.

The ideal candidate possesses a strong foundation in machine learning, deep learning, and NLP techniques, coupled with practical experience in building and deploying production-ready AI systems. This role is perfect for a motivated individual who thrives in a collaborative, remote-first environment and is passionate about harnessing the power of language AI to create impactful solutions. Your work will directly contribute to enhancing user experiences and unlocking new possibilities through advanced language understanding.

• Design, develop, and implement state-of-the-art NLP models and algorithms.
• Train and fine-tune machine learning models using large text datasets.
• Build and maintain data pipelines for processing and analyzing textual data.
• Deploy NLP models into production environments, ensuring scalability and performance.
• Collaborate with cross-functional teams to integrate NLP capabilities into existing and new products.
• Stay updated on the latest research and advancements in NLP and deep learning.
• Evaluate and experiment with different NLP techniques and tools to improve model accuracy and efficiency.
• Write clean, well-documented, and maintainable code.
• Troubleshoot and resolve issues related to NLP model performance and deployment.
• Contribute to the team's knowledge sharing and best practices in NLP development.

• Master's or Ph.D. in Computer Science, Linguistics, Artificial Intelligence, or a related field with a focus on NLP.
• Minimum of 4 years of experience in developing and deploying NLP models.
• Strong understanding of NLP concepts such as tokenization, embeddings, sequence modeling, and transformer architectures.
• Proficiency in Python and relevant NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
• Experience with deep learning frameworks like Tensor Flow or PyTorch.
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Solid understanding of machine learning principles and statistical modeling.
• Experience with data preprocessing and feature engineering for text data.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities in a remote team setting.

• Fully remote work flexibility.
• Competitive salary and performance-based incentives.
• Comprehensive health and wellness benefits.
• Opportunities for professional growth, including access to online courses and conferences.
• Collaborative and innovative work culture.
• Generous paid time off.
• Retirement savings plan.
• Stock options or equity.
• Home office equipment stipend.
• Exposure to challenging and impactful NLP projects.