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ML Ops: Design and Build customer data science workloads and apply the best MLOps to productionize these workloads across a variety of domainsTechnical Expertise: Serve as the subject matter expert on AI technologies, including machine learning, natural language processing, computer vision, and other relevant domains.
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Our data engineering team is also responsible for quality curation of data to ensure our products You will be joining a talented, fully remote Data Science, Engineering and Analytics team that handles a wide range of requests including customer data processing, weekly report automation, new product development and complex data integration.
$120 - $150 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Responsible for data engineering functions including, but not limited to data extract, transformation, loading, integration in support of modern cloud computing platforms like Azure and Databricks.
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AI Integration: Contribute to the integration of AI and machine learning algorithms into the platform, providing data-driven insights and predictive analytics. Back-End Development: Build robust, scalable, and high-performance server-side components supporting the trading platform's execution, data processing, and analytics.
Starting at $200,000 - $650,000 a year (bonuses)ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience with semiconductor processing and wafer fabrication. A Process Integration Engineer will lead the manufacturing and process development of III-V laser products. · MS or PhD in Electrical Engineering, Materials Science, Physics, or related fields.
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Design, develop, implement, maintain, and enhance data services for integration, processing, and visualization. The ideal candidate will have advanced knowledge of data modeling, data architecture, data security, and data governance practices.
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DE designing and implementing large scale data science projects, Artificial Intelligence (AI) and Machine Learning (ML) models and interfaces using Spark, Tensorflow, Python data science libraries, and Deep Learning (DL) frameworks on Amazon Web Services (AWS) and On-premise computing environments; developing cutting-edge investment tools and strategies using Natural Language Processing (NLP), Large Language Models (LLM), Neural Networks, and Supervised and Unsupervised Learning algorithms.
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A master's degree in computer science from an accredited college or university and three (3) years of progressively more responsible, full-time, satisfactory experience in Information Technology (IT) including applications development, systems development, data communications and networking, database administration, data processing, or user services.
$81,083 - $211,216Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with integration of cloud provider services including Azure OpenAI services, AWS Bedrock, or GCP Vertex. 2+ years of experience working with LLMs, Natural Language Processing (NLP), and/or prompt engineering.
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Work alongside Director of SRE, Director of Security Engineering, and Deputy CISO to design solutions that address big data processing, optimize network security telemetry collection, and.
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Data Processing/Analytics/Science, Business Administration/Management, Human Resources Management, Organizational Management, Computer and Information Science, Statistics, Mathematics.
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Lead methodological development, data scrubbing, validation, and computation with data science tools such as machine learning, multiple regression, multiple imputation, natural language processing, geospatial, and temporal modeling.
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These engagements will focus on Real Time and Batch-based Big Data processing, integration and governance, Business Intelligence, Visualizations, data science and Machine Learning.
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Able to deliver a broad range of data engagements in areas such as Data Architecture, Data Integration, Data Analytics, Data Governance, Data Quality and BI Reporting.
$60,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Design and implement scalable ETL (Extract, Transform and Load) pipelines for efficient data ingestion using Azure Data Factory to facilitate real-time data integration and processing.
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data science processing integration jobs in New York, NY
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