Job Description:
NLP Engineer – Build Language and Text AI Tools
The Natural Language Processing (NLP) Engineer plays a crucial role in creating AI systems that enable computers to understand, interpret, and generate human language with high accuracy and relevance. Your work focuses on designing, developing, and optimizing advanced NLP models tailored for digital media applications such as chatbots, sentiment analysis, content generation, and language translation.
You will leverage your expertise in linguistics, machine learning, and software engineering to build scalable, efficient NLP solutions that meet the evolving needs of clients and internal teams. Your responsibilities include developing algorithms that can process text data, recognize patterns, and extract meaningful insights, which directly improve user experience and automate complex language-related tasks.
Collaboration is key in this role. You will work closely with data scientists, software engineers, and product managers to ensure that the technical capabilities of NLP models align with business goals and user requirements. This means translating complex linguistic challenges into practical applications that drive value in digital media projects.
You will also be responsible for evaluating model performance, conducting rigorous testing, and fine-tuning systems to achieve optimal accuracy and speed. Your work involves integrating NLP components into larger AI-driven platforms, ensuring seamless interoperability and robustness under real-world conditions.
Staying current with the latest research and advances in natural language processing and machine learning is essential to maintain competitive, cutting-edge solutions. You’ll contribute to innovation by experimenting with new architectures such as transformers, sequence-to-sequence models, and attention mechanisms.
Beyond development, you will help document NLP workflows and best practices, supporting the consultancy’s broader AI strategy and knowledge sharing efforts. Your technical expertise, combined with strong communication skills, enables you to bridge gaps between complex algorithms and practical business applications.
In summary, as an NLP Engineer, you are at the forefront of making human language accessible to machines. Your work empowers digital media teams to deliver smarter, more interactive, and context-aware experiences that enhance client offerings and improve automation capabilities.
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Responsibilities:
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Develop and optimize NLP models and algorithms.
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Preprocess and analyze large text datasets.
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Implement language understanding and generation systems.
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Collaborate with cross-functional teams to integrate NLP solutions.
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Research and apply state-of-the-art NLP techniques.
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Ensure model robustness and fairness.
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Monitor model performance and iterate improvements.
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Write clean, maintainable code and documentation.
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Stay updated on NLP advancements and tools.
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Mentor junior engineers and share best practices.
Preferred Qualifications:
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3+ years experience in NLP engineering or research.
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Proficiency in Python and NLP frameworks (SpaCy, NLTK, Hugging Face).
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Strong understanding of linguistics and machine learning.
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Experience with transformer-based models (BERT, GPT, etc.).
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Familiarity with cloud platforms and deployment.
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Bachelor’s or Master’s degree in computer science, AI, or related field.
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Excellent problem-solving and analytical skills.
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Ability to work collaboratively in multidisciplinary teams.
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Knowledge of AI ethics and bias mitigation.
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Passion for advancing natural language understanding.
