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NLP Technical Architect + Cloud Infrastructure Specialist
Responsibilities:
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Independently design, build, and deploy scalable technical architectures for new NLP models.
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Set up and manage cloud infrastructure on AWS/Azure, ensuring robust performance, security, and cost-efficiency.
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Develop and fine-tune Large Language Models (LLMs), ensuring they meet project requirements.
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Execute all phases of the NLP model lifecycle, including data preparation, model training, optimization, and deployment.
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Continuously monitor and refine models to improve accuracy and scalability.
Qualifications:
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Proven expertise in NLP, LLMs, and cloud platforms (AWS/Azure).
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Strong background in designing and executing end-to-end technical architectures for NLP models.
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Experience in independently managing cloud infrastructure and deploying large-scale NLP solutions.
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Proficiency in Python, TensorFlow/PyTorch, and cloud infrastructure tools.
Data Scientist & Analyst (NLP)
Responsibilities:
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Develop, fine-tune, and validate NLP models.
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Preprocess and normalize datasets, ensuring data quality and consistency.
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Support data augmentation and conduct initial model validation.
Qualifications:
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Strong background in NLP, machine learning, and data manipulation.
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Proficiency in Python, TensorFlow/PyTorch, and data preprocessing.
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Experience with model development, data validation, and augmentation techniques.
Research and Data Collection Coordinator
Responsibilities:
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Set up and manage cloud infrastructure on AWS or Azure.
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Ensure the infrastructure is secure, scalable, and cost-effective.
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Monitor and optimize cloud resources to support ongoing project needs.
Qualifications:
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Expertise in AWS or Azure cloud services.
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Experience with cloud setup, management, and optimization.
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Knowledge of best practices in cloud security and cost management.