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Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop and implement in production algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams.
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Lead Innovation through external perspective: Research emerging trends and advancements in machine learning, deep learning, NLP, and generative AI; apply this knowledge to solve complex problemsCommunicate Insights Effectively: Present findings, recommendations, and results to both technical and non-technical audiences, including executive leadership, via clear reports, visualizations, and presentations.
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KEYWORDS Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Edge Computing.
$90 an hourExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Bachelor's degree in Information Technology, Business or related field and 7+ years of Program/Project management experience (such as: Project Lead, SCRUM Master, Agile Coach) working with technical teams developing enterprise class solutions.
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Understanding of the following domains: Advertising, Marketing, AdTech, MarTech, AI, and Machine Learning. Kinesso is searching for an experienced Associate Director of Engineering to join our team as a technical leader.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Advanced data analytics – designing and building solutions using technologies such as Azure Data Factory, Azure Data Lake, HD Insights, SQL DWH, Stream Analytics, Machine Learning, R Server, Synapse, Azure Machine Learning (AML), Azure Kubernetes Service (AKS) for model deployments, Vector and Retrieval-Augmented Generation (RAG) implementation.
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Lead Teachers meet regularly with their grade-level team members and other collaborators in order to address planning curriculum, analyzing data, organizing and developing family communication, discussing and implementing academic and behavior intervention, and academic learning goals for all students.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company.
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Supervised by the Assistant Principal of Student Services, the Learning Specialist plays a unique role as a collaborator with teachers on various teams, as a family liaison, and as a small group and individual instructor of students with varying learning needs.
$98,500 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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We're looking for a Lead, Workday Integration Engineer to join the People Team at Snap Inc! Partner with HRIS/Workday configurations team to thoroughly evaluate, communicate, and coordinate the technical impacts of associated configuration decisions.
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Under the direction of the Development Manager of the Administrative Systems (Financials) Team, the EBS Developer will be responsible for both functional SDLC tasks and technical development work in PL/SQL, personalizations, and customizations of Oracle EBS.
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Experience managing and analyzing large data sets using data science tools such as artificial intelligence and machine learning. Major or minor of studies in a field of Quantitative Finance, Financial Engineering, or a related technical field that blends advanced quantitative methods with finance and economics is a plus.
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5+ years of experience applying AI and machine learning strategies to build successful quantitative trading solutions for institutional investors. Candidates need hands on experience with traditional machine learning, deep learning, Bayesian statistics, ensemble methods, clustering, and parametric and non-parametric statistics, as well as knowledge of standard financial pricing and portfolio models.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Technical skills such as Excel and PowerPoint. Through a highly effective Investment Process, they provide solutions across all product platforms and asset classes - equity, fixed income and alternative investments including structured products and specialty assets - through a comprehensive due diligence and oversight process for client portfolios.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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machine learning technical lead stack jobs in Jersey City, NJ
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