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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.
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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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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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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.
$284,831Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience using Statistical and Machine Learning algorithms on real data, in commercial environments. o Solid hands-on experiences with Hadoop technology components such as HDFS, HBase, Cassandra, Kafa especially with Spark and Spark Streaming.
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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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The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. Hands-on experience with one or more deep learning frameworks like PyTorch, TensorFlow, Hugging face, LangChain, LlamaIndex, etc.
$305,300 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
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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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Familiarity with emerging IAM skills like IAM in Multi-Cloud (AWS, Azure, Oracle, GCP) and Hybrid Environments, Identity Analytics and Machine Learning, Biometrics & Password less Authentication, Adaptive Authentication, Authorization, and Access Controls.
$135,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Hands-on experience in orchestration frameworks like Airflow, Cloud Composer, DataProc Serverless for Pyspark jobs etc. Good knowledge of Kubernetes, container technologies, docker registries, and applying them in the context of machine learning systems.
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Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value; 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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We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
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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 15 days ago
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