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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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The explosion of big data, machine learning and cloud computing is creating a quantum leap forward in digital marketing and is forever changing the profession and reinventing how businesses communicate with prospects and deliver ongoing value to their customers.
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Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools. You'll be empowered to create & lead a strong team of data engineers who build data pipelines into various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company.
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As a Data Scientist in the Garage, youll be part of a team thats leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across large number of customer records to harness the power of AI in unlocking the big opportunities to improve customer experience.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
$234,700 a yearRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Strong knowledge of Conversational AI technologies, including Natural Language Processing (NLP) and Machine Learning (ML). As a Product Manager - Conversational AI at ChatBotz.ai, you will play a pivotal role in driving the development and success of our cutting-edge chatbot technology.
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AI and ML: Strong interest in artificial intelligence and machine learning principles including statistical analysis, model creation and application of custom analytical models. In this strategic role as a Senior Marketing Operations and Analytics Manager, you will analyze marketing programs' performance data to help the marketing teams understand the effectiveness of overall and individual campaigns and deliver actionable insights for increased investment or corrective improvements.
$116,900 - $148,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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CoreWeave builds cloud solutions for compute intensive use cases — VFX and rendering, machine learning and AI, batch processing, and Pixel Streaming — that are up to 35 times faster and 80% less expensive than the large, generalized public clouds.
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Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data.
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Collaborate with the AI/ML team to integrate data operations seamlessly with machine learning workflows. We are seeking a talented and experienced Data Operations Manager to join our team and lead the charge in optimizing our data operations, particularly in the migration from SQL Server to Snowflake, managing both onshore and offshore teams, and overseeing cloud operations with a focus on AI/ML. This position is expected to be a strong leader but to also be very hands on from a technical perspective.
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Required qualifications, capabilities, and skills: Master's Degree with 5+ years or Doctorate (PhD) with 3+ years of experience operating as an data science professional (e.g. data scientist, statistician, or related professions) in a quantitative field: Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, and related disciplines.
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Manager, Cyber Risk & Analysis (Machine Learning) Capital One's commitment to Machine Learning has sponsorship from leadership and the Enterprise ML Program is at the heart of this effort, and is leading the way towards building responsible and impactful tools, platforms, and solutions that leverage ML and Generative AI.
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You will join the ARGO Fraud and Compliance LOB as Product Manager for Electronic Payments Fraud Detection, defining state of the art advanced AI products to help Financial Institutions detect and prevent fraud & scams, using scalable Machine Learning techniques such as Deep Learning, Transaction and Image Analysis.
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Master’s Degree with 5 plus years or Doctorate (PhD) with 3 plus years of experience operating as an data science professional (e.g. data scientist, statistician, or related professions) in a quantitative field: Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, and related disciplines.
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Background (1+ years) in a DevOps or MLOps role, building machine learning infrastructure with tools like Terraform or Google Cloud Deployment Manager. If you are looking for a mentoring, collegial environment with a culture of performance & accountability with a technical leadership team, than this role is perfect for you to develop your skills in data engineering, machine learning operations, and leadership.
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machine learning manager jobs in Plano, TX
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