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As an Artificial Intelligence Intern, you will be part of pioneering projects involving machine learning, natural language processing, computer vision, and more. To Qualify: Ideal candidates are current students pursuing or recent graduates of a Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related fields with a focus on AI technologies.
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Job Description :JOB SUMMARYThis position supervises and participates in the development of batch and real-time data pipelines utilizing various data analytics processing frameworks in support of data science and machine learning practices.
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As part of our Data Governance, Quality and Operations team, you’ll focus on using advanced frameworks, data integration and machine learning tools to deliver scalable data operations while establishing trust and integrity in data at the point of use.
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Data mining, machine learning, statistical modeling tools and underlying algorithms. As a Data Science Sr. Manager at CarMax, you’ll apply your passion and expertise in data, machine learning, and entrepreneurship to create data-science applications that enrich CarMax’s culture of innovation.
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Some experience with data science or machine learning is helpful. 2+ years of experience in data analysis, pricing, revenue management, or other related functions. Develop data-informed market and property-level pricing strategies Monitor pricing and market trends on an ongoing basis and adjust strategies for shifts in market dynamics Manage inventory and availability to ensure maximum revenue and occupancy Communicate revenue performance and trends to key stakeholders Collaborate closely with Owner Experience, Marketing, and Listings and Distribution, to ensure successful execution of revenue optimization strategies.
$80,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Past experience working in Consulting services focusing on procurement or supply chainExperience in developing procurement-related machine learning models is highly desirable. About the Role Workday is looking for a Senior Business Intelligence Analyst, passionate about leveraging data to influence business decisions.
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Support and enhance cutting-edge machine-learning-based security analytics Splunk applications deployed on Splunk Enterprise Security. Working knowledge of machine learning concepts and experience with one or more Client platforms or toolkits.
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Seeks out opportunities for process improvement leveraging Machine Learning technologies and serves as an operational and business subject matter expert to data scientist colleagues.
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Experience to basic statistics and regression algorithmsExperience in advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilizationExperience in training machine learning models with extremely large datasetsExperience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc.
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This is a hands-on Machine Learning Engineer Manager so you should be someone that wants to get their hands dirty but equally someone with proven people management experience. We're searching for a hands-on Machine Learning Engineer Manager - a senior engineer with people management experience, ideally comfortable leading a growing team of 5.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Preference for candidates who have sold services on the Microsoft technology stack including Azure, SQL, Machine Learning, IoT, Power BI, and Application Development. Focus on growing sales opportunities for the Microsoft Azure Platform covering data science, advanced analytics, and application development.
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Familiarity with machine learning algorithms is a plus. Uphold data governance and security standards. Knowledge of data modeling, governance, quality, security and storage techniques.
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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Strong understanding of machine learning algorithms, statistical techniques, and data analysis. Join our client as a Lead Machine Learning Engineer where you'll be at the forefront of pioneering advanced analytics for actionable insights within our FinTech and RegTech Product portfolio.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Working knowledge of Amazon sage maker, Amazon kinesis data analysis and Machine Learning. Experience on data ingestion using MQTT broker, AWS Glue(ETL), Influx DB. Establish monitoring, logging, and alerting solutions for AWS environments using CloudWatch, CloudTrail, and X-Ray to ensure high availability and reliability.
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data machine learning jobs in Atlanta, GA
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