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Stay updated on the latest trends and best practices in business intelligence and data visualization. The ideal candidate has a strong foundation in Business Intelligence principles, is comfortable working with large volumes of data, and possesses the technical expertise tosolve complex data challenges.
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Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight:Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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Job Qualifications: Master's Degree or higher in machine learning, science, math, statistics, engineering field, or equivalent work experience. Job Responsibilities: Team Leadership and Development: Lead, mentor, and develop a team of data scientists and machine learning engineers.
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At SNC's ISR, Aviation and Security (IAS) team we are a leading manned and unmanned aircraft systems integrator for high-performance intelligence, surveillance and reconnaissance, and aviation systems.
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Provide technical excellence to apply state-of-the-art machine learning / artificial intelligence utilizing technologies such as Spark, R, Hadoop, Scala, SQL to real world infrastructure business problems.
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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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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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Location(s) : BUMC-Dallas, TXSchedule: FT DayJOB SUMMARYThe Registered Respiratory Therapist will partner as part of a collective team in a thriving culture of learning and advancement, leveraging various scientific values, therapies, and techniques to optimize patient care and outcomes.
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We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Design, develop, and implement automation and robotics solutions, including but not limited to robotic process automation (RPA), machine learning, artificial intelligence, and other advanced technologies.
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The QMHP main focus with helping adults is to assist them with learning functional and independent living skills, find community resources and provide support and/or linkage to support. Enters data in a clear, accurate, and timely manner.
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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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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, and Machine Learning engineers for full-time positions with clients.
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Learning and development opportunities paired with a comfortable work environment make Telvista a place where talent thrives. Continuous Learning And Training. General technology knowledge, including the ability to describe in general terms: operating systems, basic internet navigation, hardware components, software, networking components (video, data, voice), peripherals, and email applications.
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intelligence learning jobs Title: data science Company: Capital One in Dallas, TX
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