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Understanding or hands on experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx; Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms.
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Hands on experience with big data frameworks and modern data technologies (Snowflake, dbt, Airflow, Tableau, SQL) Strong foundational knowledge of machine learning (ML) algorithms, natural language processing (NLP) and AI Model Evaluation.
$120,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Hands-on experience with AI technologies, such as machine learning, natural language processing, and computer vision, applied to software testing. Job Location: Plano, TexasJob DescriptionTo accelerate exponential growth in Digital Health sector, we are expanding our offerings on multiple areas to support and help patients, physicians, reps.
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2+ years of experience working as a Machine Learning Engineer and has implemented and deployed at least 2 large projects related to ML & Natural language processing ( NLP ) Hands on experience programming languages in Python, Spark, SQL, Data frames and PySpark.
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Expertise with scaling pilot machine learning solutions to a large scale production environment using databricks. 5 plus years of hands-on experience with Python and/or R programming and statistical.
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6-8 years of hands-on development experience in Core Java (Java 11 & above), and experience in backend technologies such as Core Java, Spring framework, JSON, REST, Hibernate, Django, SqlAlchemy etc.
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Proficient in tools and languages like Python, R, SQL, and machine learning libraries/frameworks. Expert in data analysis, machine learning, statistical modeling, and data manipulation.
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As a member of the Flight Systems team, you will conduct software development at the intersection of classical state estimation techniques, sensor fusion, artificial intelligence, machine learning, and machine perception.
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As part of our finance team, youll focus on providing the support companies need in their Finance Transformation journey enabled by Oracle Cloud ERP and EPM. You will be part of a team that helps clients rethink their Finance functions as they leverage new Cloud technology including RPA, Machine Learning and Analytics in conjunction with their ERP platform.
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Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
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Joining CoreLogic means working on the cutting edge of the industry with next-gen technology such as cloud native applications, machine learning, artificial intelligence, augmented reality, drones, and more.
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We have an exciting opportunity for the right leader to join U.S. Bank as the Sr Director of AI Machine Learning Platform and Engineering in the data engineering organization. This position will be part of data engineering leadership and be responsible for all AIML platforms including both traditional and GenAI. This will be a hands-on senior leadership role with extensive knowledge of various data and AIML technology spanning cross AIML life cycle including but not limited to feature engineering, model development/training, model deployment, runtime, monitoring and continuous measure/refinement.
$243,980 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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The successful applicant will design and operate a framework for Machine Learning Operations (MLOps), advise on software engineering for ML, and ensure consistency with cloud architectural principles.
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Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training. Strong working knowledge of deep learning, machine learning and statistics.
$204,300 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago
machine learning hands on jobs in Dallas, WI, Canada
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