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Familiarity with natural language processing (NLP) and computer vision (CV) applications in generative AI. Experience in data pre-processing, feature engineering, and data augmentation techniques for training generative models.
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Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data.
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Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
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Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Experience with database management and querying tools, including traditional SQL databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra.
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Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services.
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Innovation Architect: Design and develop highly scalable algorithms across the full stack, incorporating machine learning, computer vision, natural language processing, and more.
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Knowledge of natural language processing, computer vision techniques, deep learning, and machine learning. The Architect will lead Generative AI projects to build natural language processing, text/content generation, computer vision, speech, and machine learning capabilities using Azure OpenAI GPT-4 & other open source LLMs.
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Experience in data and AI technologies, tools, and platforms, such as data engineering, data analytics, data visualization, machine learning, natural language processing, computer vision, etc.
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Utilize computer vision, natural language processing, and other AI methods to extract meaningful insights from unstructured data like incident narratives and photos. We have three complementary businesses of natural gas pipelines, liquids (oil) pipelines, and power generation.
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In-depth knowledge of machine learning algorithms (deep learning, natural language processing, computer vision, etc. Master's degree in Computer Science, Artificial Intelligence, or a related field (or equivalent experience.
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Proficiency in machine learning, deep learning, and natural language processing (NLP) techniques. A well established company in the south is looking to bring on an Analytics Engineer with a strong background in Computer Vision, Image Recognition and Language Models.
$160,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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Harness the power of transformer architecture, a cutting-edge deep learning model widely employed in natural language processing and computer vision, to optimize the language model's performance and efficiency.
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Qualifications Master's degree in Computer Science, Artificial Intelligence, or a related field (or equivalent experience). Certifications (Preferred) Professional certifications in AI or machine learning (, AWS Certified Machine Learning Specialty, Google Certified Professional Cloud Machine Learning Engineer) Title: AI Architect Location: Houston, TX Client Industry: Engineering and Services.
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