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TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Artificial Intelligence (AI)/Machine Learning to assess the performance of software which shall enable autonomous vehicle and control elements, perception, cognition, and action of system controls within an existing prototype.
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Distinct experience in advanced probability, statistics, machine learning, big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP. This role involves developing data science solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.
$242,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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3-5 years of experience in application security testing and source code review. Key responsibilities include static and dynamic source code reviews using tools like SAST, DAST, and SCA. You’ll also leverage threat modeling and attack pathing to validate and enhance the organization’s security controls.
$155,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Understanding of Machine Learning Operations (MLOps) practices, including DevOps principles such as IaC, containerization, and CI/CD pipelines. Experience with machine learning, including model development, evaluation, and optimization using tools and packages such as sklearn, NumPy, PyTorch, or TensorFlow.
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Research and analyse specific capabilities or technology areas including but not limited to semantic technologies, robotic process automation, machine learning, and artificial intelligence.
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Understands, conducts, and documents appropriately Dialysis/Apheresis machine safety tests/alarm tests, equipment calibration, dialysate testing, machine safety tests, functional testing, and internal and external disinfection on all water & dialysis machines, and complies with the documentation/notification standards per FMS policies.
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Ideal candidate would have industry experience in the field of Artificial Intelligence, Machine Learning, and/or Cloud Computing. We look forward to speaking with you, and learning more about what you are seeking in your next opportunity.
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Cleans and disinfects dialysis machine surface, chair, equipment, and surrounding areas between treatments according to inpatient renal services policies and procedures. Performs all required pre-treatment dialysis machine alarm testing.
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Stay informed about current research and best practices in the field of behavior intervention and social-emotional learning. This position offers an opportunity to make a meaningful impact on the lives of students by providing essential support and guidance in their social-emotional and behavioral development within an alternative learning setting.
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The goal of a Machine Learning Engineer at Scale is to bring techniques in the fields of computer vision, deep learning, deep reinforcement learning, or natural language processing into a production environment to improve products and customer experience.
$240,960 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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To develop deep financial intelligence insights, you will explore new data sources, build effective queries, and combine information from disparate sources including intelligence reporting, open-source information, regulatory filings, financial transaction data, blockchain transaction tracing, and more.
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Lead a team of geographically dispersed professionals who will have responsibilities for prototyping and deploying solutions for the enterprise; Areas of expertise will include applied mathematics & statistics, machine learning operations, data engineering, software development, modelling & simulations.
$178,250 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$248,400 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning source jobs Title: technical program manager in Washington, DC
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