About Us:

We are an AI-driven company focused on transforming how businesses interact with data using state-of-the-art natural language processing solutions. Our mission is to build intelligent systems that understand and generate human language, enhancing user experience and automating tasks across industries. We are seeking a talented NLP Engineer to join our team and contribute to groundbreaking AI projects.

Key Responsibilities:

Design, implement, and optimize NLP models for tasks such as text classification, named entity recognition, sentiment analysis, machine translation, and question-answering.
Work with large-scale datasets to train and fine-tune state-of-the-art language models (e.g., BERT, GPT, T5) for various business applications.
Develop robust and scalable NLP pipelines, ensuring seamless integration with existing products and services.
Collaborate with data scientists, engineers, and product teams to deliver AI solutions that provide actionable insights from text data.
Continuously monitor and improve the performance of NLP models in production environments, adapting to new data and use cases.
Stay up-to-date with the latest research and advancements in NLP, proposing innovative approaches for complex problems.

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Linguistics, or a related field from a top-tier institution (e.g., Ivys, Stanford, Cal, Waterloo).
2-4 years of experience in developing and deploying NLP models in production environments.
Hands-on experience with deep learning frameworks like TensorFlow, PyTorch, or Keras, specifically for NLP tasks.
Expertise in NLP techniques such as tokenization, stemming, lemmatization, and knowledge of key algorithms (e.g., word embeddings, transformers, attention mechanisms).
Proficiency in Python and experience with NLP libraries such as SpaCy, Hugging Face Transformers, NLTK, or Stanford NLP.
Familiarity with cloud platforms (AWS, GCP, or Azure) and deploying models in scalable, distributed systems.
Strong problem-solving skills and the ability to work independently and collaboratively on complex projects.

Preferred Skills:

Experience with pre-trained language models like GPT, BERT, or similar, including fine-tuning and transfer learning.
Knowledge of low-resource languages, multi-lingual NLP, or conversational AI systems.
Background in unsupervised learning or reinforcement learning applied to NLP tasks.
Familiarity with backend systems and cloud infrastructure for deploying AI models at scale.

Why Join Us?

Work on cutting-edge NLP projects that impact diverse industries.
Collaborate with a highly skilled and motivated team of AI engineers and researchers.
Competitive salary with opportunities for career growth.
Flexible remote work environment with a focus on innovation and work-life balance.

Compensation:

$500,000 per year + Equity

NLP Engineer [28680]