NLP Engineer
4 weeks ago
Are you passionate about unlocking the potential of language and transforming it into intelligent systems? Do you enjoy working with cutting-edge NLP techniques to help machines understand and generate human language? If you're driven to build NLP solutions that solve real-world problems, then our client has an exciting opportunity for you.
Key Responsibilities:- Design and implement state-of-the-art NLP models, such as transformers, BERT, and GPT, to solve language-based problems.
- Develop NLP applications that enable chatbots, voice assistants, and other AI-driven tools to understand and generate natural language.
- Perform data preprocessing and feature extraction on large text datasets to prepare them for NLP tasks.
- Experiment with cutting-edge NLP techniques, including developments in deep learning and transfer learning.
- Deploy NLP models into production environments, ensuring they are scalable, efficient, and reliable.
- Collaborate with cross-functional teams to integrate NLP models into products and services.
- Monitor and fine-tune model performance to ensure accurate and relevant results.
- Strong experience in natural language processing techniques, including sentiment analysis, named entity recognition, text classification, and machine translation.
- Proficiency in machine learning and deep learning frameworks like TensorFlow, PyTorch, or Hugging Face.
- Programming and data skills, including proficiency in Python and experience working with NLP libraries such as NLTK, SpaCy, or Stanford NLP.
- Experience deploying NLP models into production environments using cloud platforms (AWS, GCP, Azure) and containerization tools like Docker.
- Strong collaboration and communication skills, with the ability to work with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
- Bachelor's or Master's degree in Computer Science, Data Science, AI, Linguistics, or a related field.
- Equivalent experience in NLP or machine learning is highly valued.
- 3+ years of experience in NLP or machine learning, with hands-on experience building and deploying NLP models in real-world applications.
- Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.
- Competitive vacation, sick leave, and 20 paid holidays per year.
- Flexible work schedules and telecommuting options.
- Opportunities for training, certification reimbursement, and career advancement programs.
- Access to wellness programs, including gym memberships, health screenings, and mental health resources.
- Life and disability insurance, employee assistance program, and tuition reimbursement.
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