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Proven experience in planning and driving productionalized machine learning models. 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Minimum of 3 years' experience related to new technology (Digital Thread / Twin, Robotic Process Automation, IoT, Machine Learning, Artificial Intelligence, Blockchain, etc.) Digital Factory Strategy - Industry 4.0, IoT platform, artificial intelligence, machine learning, prescriptive maintenance, connected devices, connected workers, blockchain, etc.
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Assisting in the design, testing, tuning and implementation of strategic initiatives in the areas of financial crime and sanctions, particularly Transaction Monitoring and Sanctions Screening.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. Difference between Machine learning, Artificial Intelligence and Deep learning.
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CSCP is responsible for strategic sourcing, customer demand forecasting, capacity planning and management, supply chain planning and execution, capacity provisioning, and decommissioning and dispositioning of datacenter assets worldwide.
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Proven experience as a Systems and Technology manager in the financial services industry, preferably with a focus on Financial Crimes Compliance. Jobs for Humanity is collaborating with FIS Global to build an inclusive and just employment ecosystem.
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Machine learning libraries: TensorFlow, PyTorch, Scikit-learn , Deploying and optimizing different pipelines that support various data science processes. We are looking for candidate who can work without any sponsorship #W2 Machine Learning Engineer with 7+ years of experience in designing, building, and maintaining machine learning models and pipelines.
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Responsible for leading the production for H&H analysis and preparation of technical reports for diverse projects including open channels, closed conduit systems, drainage master planning and CIPs, detention/retention ponds, mitigation of drainage impacts, and regional flood planning.
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Collaborate with and provide subject matter expertise to partner learning professionals with the goal of upskilling CrowdStrike partners through enablement experiences, including live training, on-demand learning, video job aids, assessments, podcast education and train-the-trainer programs.
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As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Support the project team with traffic engineering studies such as traffic impact analyses, traffic signal timing plans, microscopic and macroscopic simulation modeling, signal warrants, speed studies, capacity analysis, traffic operations, safety analysis, and parking studies.
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Participates in remediation planning and outlines client requirements applicable to frameworks such as PCI, ISO, NIST, and CIS, for example. Cyber, Security, Compliance, I PCI, NIST, ISO, Compliance Manager, Google VPC, AWS Cloud, CISA, CISM, CISSP, AWS, Security Administrator.
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By developing and maintaining a high level of customer engagement, the Advisor will partner with Account Management (sales), the Customer Success Manager and other Apptians or partners assigned to the account to foster long-term strategic relationships to ensure every customer realizes full value from their investment with Apptio.
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The role includes performing testing as part of audit reviews of various model types including: Capital Stress Testing (CST), Fraud, Anti-Money Laundering (AML), Machine Learning, Credit risk, Interest Rate risk, Margin risk, Investment risk, and Business Intelligence/Marketing.
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Ensure access to appropriate dashboards for data analysis, leveraging expertise in various attribution methods (MTA, MMM, & Last Click) to guide strategic decisions and optimizations.
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strategic planning manager and analysis machine learning jobs in Texas
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