

Senior NLP/LLM Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior NLP/LLM Engineer on a long-term W2 contract, offering remote work. Key skills include expertise in NLP, neural networks, and machine learning. A Master's degree in a related field is required, along with proficiency in Python and frameworks like TensorFlow or PyTorch.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 29, 2025
π - Project duration
Unknown
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ποΈ - Location type
Remote
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#Data Science #NLP (Natural Language Processing) #Neural Networks #ML (Machine Learning) #Statistics #AI (Artificial Intelligence) #Programming #Python #Computer Science #TensorFlow #PyTorch #Predictive Modeling
Role description
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W2 long term contract, no c2c
Company Description
At Meriti Inc., we believe data is your most valuable asset. Our analytics practice helps you harness the power of statistics, AI, predictive modeling, and machine learning. We develop frameworks that navigate these complexities, ensuring you stay at the forefront of this rapidly evolving field.
Role Description
This is a contract remote role for a Gen AI & NLP Engineer. The Engineer will design, implement, and optimize machine learning models focused on natural language processing. Daily tasks include developing algorithms for pattern recognition, building neural network architectures, and collaborating with software developers to integrate AI solutions. The role requires continually researching advancements in the field and applying state-of-the-art techniques to practical applications.
Qualifications
β’ Expertise in Natural Language Processing (NLP) and Pattern Recognition
β’ Strong background in Computer Science and Software Development
β’ Experience with Neural Networks and Machine Learning algorithms
β’ Excellent problem-solving and analytical skills
β’ Ability to work independently and remotely
β’ Master's degree in Computer Science, Data Science, or related field
β’ Experience in AI research and practical implementations is a plus
β’ Familiarity with relevant programming languages such as Python and frameworks like TensorFlow or PyTorch