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NLP Machine Learning Engineer

UNICCON Group of Companies

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Job Description/Requirements

About the Role:


We seek a talented and passionate Machine Learning Engineer with a strong specialisation in Natural Language Processing (NLP) to join our growing AI team. You will be responsible for designing, developing, and implementing NLP solutions to solve complex problems using machine learning techniques. You will work closely with data scientists, software engineers, and product managers to bring innovative NLP applications to life.


Responsibilities:


● Design, develop, and implement NLP systems for various applications (e.g., chatbots, sentiment analysis, text summarization, machine translation, speech synthesis).

● Preprocess and clean text data for machine learning tasks.

● Develop and train NLP models using deep learning frameworks (e.g., TensorFlow, PyTorch).

● Evaluate and optimize NLP models for performance and accuracy.

● Integrate NLP models with backend systems and APIs.

● Stay up-to-date on the latest advancements in NLP research and apply new techniques to improve existing solutions.

● Collaborate with data scientists, software engineers, and product managers to define project requirements and ensure successful deployments.

● Document code and models clearly for maintainability and future reference.


Qualifications:


● Master's degree in Computer Science, Artificial Intelligence, or related field (or a Bachelor's degree with significant relevant experience).

● Minimum of 3+ years of experience in building and deploying NLP applications.

● Strong understanding of NLP fundamentals, including text representation techniques (word embeddings, n-grams), language modeling, and various NLP tasks (sentiment analysis, topic modeling, machine translation, speech synthesis).

● Proven experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

● Proficiency in programming languages like Python (essential) and experience with Java or R (a plus).

● Experience with cloud platforms (e.g., AWS, GCP, Azure) for deploying NLP models is a plus.

● Excellent analytical and problem-solving skills.

● Strong communication and collaboration skills.











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