Job Title: Natural Language Processing (NLP) Engineer
Location: Remote / On-site / Flexible
Employment Type: Full-time
Job Summary
We are seeking a talented Natural Language Processing (NLP) Engineer to join our team and develop cutting-edge language-based AI solutions. In this role, you will design, implement, and optimize NLP models and systems to process, analyze, and derive insights from textual data. You will collaborate with cross-functional teams to build intelligent applications, including chatbots, recommendation systems, and language understanding platforms.
Key Responsibilities
- NLP Model Development: Build and fine-tune NLP models for tasks like text classification, entity recognition, sentiment analysis, and language generation.
- Data Preparation: Collect, preprocess, and annotate large datasets to train and evaluate NLP models.
- Algorithm Design: Develop and implement algorithms for information retrieval, semantic search, and natural language understanding.
- Deployment: Integrate NLP solutions into production systems and ensure scalability and performance.
- Research and Innovation: Stay updated on the latest advancements in NLP, including transformer-based architectures (e.g., BERT, GPT).
- Collaboration: Work closely with data scientists, software engineers, and business stakeholders to deliver impactful solutions.
Required Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field (PhD is a plus).
- Experience:
- Proven experience in NLP, machine learning, and deep learning.
- Hands-on experience with NLP frameworks and libraries, such as spaCy, Hugging Face, or NLTK.
- Programming Skills: Proficiency in Python and familiarity with ML frameworks (e.g., TensorFlow, PyTorch).
- Foundational Knowledge: Strong understanding of text processing techniques, tokenization, parsing, and embeddings (e.g., word2vec, GloVe, BERT).
Preferred Qualifications
- Experience with transformer models (e.g., BERT, GPT, RoBERTa).
- Familiarity with speech-to-text and text-to-speech technologies.
- Knowledge of MLOps for managing NLP pipelines.
- Exposure to domain-specific applications, such as healthcare, finance, or e-commerce NLP.
Key Competencies
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Passion for building intelligent language-based solutions.
What We Offer:
- Competitive compensation aligned with industry standards and your experience.
- Performance-based incentives and rewards.
- Opportunities for professional growth and skill development.
- Comprehensive health and wellness benefits.
- A flexible and inclusive work environment.
- A dynamic and innovative work environment.
- Opportunities to work on impactful NLP projects.
- Flexible working arrangements and competitive compensation.
How to Apply:
If you are passionate about advancing the capabilities of NLP and driving innovation, we’d love to hear from you! Submit your application.