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Experience as a Machine Learning engineer building feature engineering pipelines, deploying AI models, and optimizing model inference. · Design and develop machine learning and deep learning systems using appropriate ML algorithms / frameworks.
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This a division level analyst position, developing and conducting historian user training, training operators in plant optimization, developing and training operators on the use of trends and dashboards, and developing new applications including iOT, machine learning and artificial intelligence applications.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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Expertise in multiple modeling methodologies including survival analysis, transition rate modeling, time series analysis, credit scoring, Monte Carlo simulation, Artificial Intelligence/Machine Learning techniques such as neural networks and tree based algorithms etc.
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Proven track record of strong quantitative testing and statistical analysis techniques as it pertains to OFAC sanctions and AML models, including name similarity matching, classification accuracy testing, unsupervised/supervised machine learning, neural networks, fuzzy logic matching, decision trees, etc.
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Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks. Collaborate with cross-functional teams, including data science, business intelligence, and infrastructure teams.
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In this role, you will collaborate with GCDI’s Vulnerability Response Operations and Cyber Intelligence teams to collect requirements, develop, architect and deploy vulnerability management solutions on premise and across multiple cloud providers.
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Conduct predictive modeling using statistical and machine learning techniques to help answer business questions and inform strategic decisions. Develop predictive models using the appropriate statistical and machine learning techniques (e.g., linear regression, logistic regression.
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While here you will get to work with and get trained on end-to-end Workday suite, Adaptive Insights, and machine learning-based demand planning models. TCC supports a growth and learning environment.
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For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Minimum of ten years of experience with pattern recognition, machine learning, linguistics, utterance classification, and signal processing knowledge. Minimum of five years of experience with Natural Language data collection analysis and tagging, grammar analysis, NLU development, and directed dialog grammar development.
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In coordination with Cyber Intelligence develops travel advisories, processes and travel security countermeasures. In coordination with Cyber Intelligence, develops travel advisories, processes and travel security countermeasures.
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With 104 Innovation and R&D design centers globally, we specialize in disruptive technology spaces such as NexGen Comms, Artificial Intelligence, Collaborative Robots, Digital Factory, and Autonomous Transport.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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artificial intelligence machine learning jobs Title: data science Company: Capital One in Dallas, TX
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