NLP Engineer (Natural Language Processing)

Full Time Remote Hybrid 10 months ago
Employment Information

Key Responsibilities:

  • Develop and deploy NLP models and algorithms to process and analyze text data.
  • Work with large datasets to clean, preprocess, and extract features from text.
  • Implement machine learning models for various NLP tasks such as sentiment analysis, text classification, named entity recognition (NER), and machine translation.
  • Collaborate with data scientists, software engineers, and business teams to deliver NLP solutions.
  • Stay updated on the latest NLP research, techniques, and trends to apply cutting-edge solutions to business problems.
  • Optimize and fine-tune NLP models for better performance and scalability.
  • Write clean, efficient, and well-documented code for NLP pipelines and systems.
  • Contribute to the integration of NLP capabilities into various software applications.
  • Communicate technical findings and results to non-technical stakeholders.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Linguistics, or a related field.
  • Strong understanding of natural language processing (NLP) and machine learning techniques.
  • Proficiency in programming languages such as Python and familiarity with NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
  • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) for NLP model development.
  • Knowledge of text preprocessing, tokenization, and feature extraction techniques.
  • Familiarity with cloud platforms (AWS, Google Cloud, Azure) is a plus.
  • Strong problem-solving and analytical skills.
  • Good communication skills and ability to work in a team environment.
  • Eagerness to learn and grow within the NLP and AI fields.

Preferred Skills:

  • Experience with pre-trained models (e.g., BERT, GPT, T5).
  • Knowledge of machine learning frameworks and libraries like scikit-learn and Keras.
  • Familiarity with reinforcement learning or transfer learning techniques.
  • Any relevant certifications or experience with AI/NLP projects is a plus.
  • Experience with data pipelines, ETL processes, or cloud-based data processing is an advantage.

Salary and Benefits:

  • Competitive salary ranging from €40,000 to €55,000 per year, depending on experience and qualifications.
  • Opportunities for career development and professional growth in AI and NLP.
  • Flexible working hours with options for remote work.
  • Comprehensive health insurance, paid vacation, and other employee benefits.
  • Access to training programs, industry conferences, and workshops.
Skills
PHP Python ETL Processes Problem-Solving
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