Natural Language Processing Jobs in San Diego

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Search Results - Natural Language Processing Jobs in San Diego

Sr. Machine Learning Engineer

PaloAlto Networks-San Diego-yesterday

Experience applying supervised and/or unsupervised machine learning algorithms on various data types. Preferred Qualifications Working knowledge of Natural Language Processing (NLP) techniques or document classification. Familiarity with advanced...

Senior Data Scientist

San Diego-noblis.org-2 weeks ago

languages • Experience using version control systems (e.g., Git) • Must be a US citizen • Must have an active Secret Clearance Desired Qualifications: • Experience with natural language processing or large language models • Experience deploying...

Machine Learning Engineer

PaloAlto Networks-San Diego-yesterday

of Natural Language Processing (NLP) techniques or document classification. Familiarity with advanced machine learning architectures like transformers and convolutional networks. Experience with cloud platforms (Google Cloud Platform, AWS) and container-based...

Data Scientist II - AMZ27022.1

Amazon-San Diego-amazon.jobs-1 month ago

language processing, machine learning algorithms, genetic algorithms, and neural networks. Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators. Implement models that comply...

Mid Data Scientist

Booz Allen Hamilton-San Diego-yesterday

or Natural Language Processing • Knowledge of text mining or machine learning techniques • Secret clearance • Bachelor's degree Nice If You Have: • 2+ years of experience in the development of algorithms leveraging R, Python, or SQL and NoSQL • 2+ years...

Delivery Consultant - AI/ML, AWS Professional Services

Amazon-San Diego-amazon.jobs-1 month ago

with understanding of distributed computing (e.g., data pipelines, training and inference, ML infrastructure design) • 3+ years developing predictive modeling, natural language processing, and deep learning, with experience in building and deploying ML models...