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Understanding of Azure stack like Azure Machine Learning, Azure Data Factory, Azure Databricks, Azure Kubernetes Service, Azure Monitor, etc. Demonstrated expertise in building and deploying AI/Machine Learning solutions at scale leveraging cloud such as AWS, Azure, or Google Cloud Platform.
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Evaluate and pilot the newest emerging technologies in AI, machine learning, and IoT.Commissioning and Testing:Support the commissioning, testing, and solving of building automation systems. Continuous Improvement and Optimization:Drive continuous improvement of control strategies, Human-Machine Interfaces (HMIs), and alarm management.
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Machine Learning Engineering - Dallas, TX (Hybrid) Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency. Deploy machine learning models into production environments, ensuring scalability, reliability, and real-time performance.
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Expertise with scaling pilot machine learning solutions to a large-scale production environment using Databricks. Tiger Analytics is looking for experienced Machine Learning Engineers to join our fast-growing advanced analytics consulting firm.
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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 design.
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San Francisco and San Jose, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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Strong knowledge of statistical techniques, machine learning algorithms, and data mining techniques. Stay updated on advancements in data science, machine learning, and analytics. Develop predictive models, machine learning algorithms, and statistical models to solve complex business challenges.
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We optimize our clients' experience using unique proprietary technology coupled with robotic process automation, intuitive digital programs powered by machine learning, and enhanced by an extensive proprietary transaction data set.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
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Description :Lead a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge imagery and LLM. Take ownership over your work, embrace continuous learning, and above all, find joy in what you do.
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Skilled in building data and semantic layers utilizing enterprise analytic tools such as Tableau, Microstrategy or PowerBI. - Must have at least 2 years of experience in Snowflake AWS, Machine Learning Models, GitHub, Python, SQL, ETL/ELT, PowerBI/Tableau, and Data Warehousing - Indiana residency preferred.
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Positions materials through feed rollers and guides, or positions and maneuvers under sewing machine presser foot and needle during operation. Folds or fits together materials, such as cloth, foam rubber, or leather to prepare for machine sewing.
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Minimum of ten years of experience with pattern recognition, machine learning, linguistics, utterance classification, and signal processing knowledge. Omni-Channel, Chatbot, and/or Conversational IVR experience.
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Research, design, build, deploy, and validate new and existing machine learning models and predictive analytics for advanced forecasting in supply chain demand planning that will drive our customers growth from insights that are allow for better decision making.
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Capgemini Government Solutions (CGS) LLC is seeking a highly motivated data scientist to develop Computer Vision and Machine Learning algorithms to build solutions. Experience using tools such as Azure’s Machine Learning and Cognitive Services; AWS’s SageMaker, Polly and Rekognition; DataRobot; or H2O.ai.
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machine job Title: expert Company: Expert Hiring in Irving, TX
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