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Responsible for designing and developing scalable UI solutions to facilitate the application of machine learning computational methods, and cloud resources to facilitate analysis such as drug data, natural language processing, molecular dynamics simulations, and image processing.
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Strong experience with Python/R, forecasting methodologies, machine learning and statistics, The successful candidate will bring experience as a data scientist and machine learning leader working for a company where "AI" is considered core to the company's success.
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Experience in advanced analytics using machine learning, data mining, and natural language processing, preferred. Maintains and continuously develops critical skills by attending training programs, associated conferences, and continued education in advanced analytics, software development, cloud computing, and machine learning.
$127,300 - $296,100 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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At least 2 year of experience in data engineering using open-source technology stack along with cloud computing (AWS, Microsoft Azure, Google Cloud) Candidate will be responsible for delivering the vision and strategy for modern data, analytics, and artificial intelligence/machine learning (AI/ML) to provide an end-to-end ecosystem for data storage, ingestion, transformation, analytics, and AI/ML. We are an agile team that builds complex solutions, and you will be working on next generation of platform.
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Work with a team of data scientist and machine learning engineers to develop and deploy GenAI applications supporting Walmart finance department. You will stay at the cutting edge of data science and machine learning advancements, continuously exploring new technologies to enhance the team's technical capabilities.
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We integrate off the shelf and new development efforts to sustain and enhance the NMEC architecture and by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
$101,400 - $183,300 a yearFull-timeExpandUpdated 4 days ago - UpvoteDownvoteShare Job
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CUDA (Compute Unified Device Architecture) /OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms.
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Experience processing, integrating and analyzing high-dimensional biological datasets using the R statistical programming language. Expert level programming in languages such as R or Python, demonstrated with sample code.
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Leverage AWS cloud services like S3, Kinesis, Redshift, EMR, Glue, Lambda, and others in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. 5+ years of experience with a public cloud, including AWS, Microsoft Azure or Google Cloud.
$96,600 - $220,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working with ML/AI products and techniques pertaining to natural language processing, such as optical character recognition, document classification, named entity recognition, machine translation, etc.
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Experience in setting up virtual private clouds in public cloud infrastructure such as Amazon Web Services, Microsoft Azure, Alibaba Cloud, or Google Cloud Platform. Experience with designing and engineering connectivity to public cloud providers utilizing technologies such as AWS Direct Connect, Azure ExpressRoute, Google Dedicated Interconnect, or Oracle FastConnect.
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Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration.
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Familiarity with streaming data processing, real-time analytics, and machine learning pipelines. Experience in stream / data processing technologies like Kafka, Spark, Google BigQuery, Google Dataflow, HBase.
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Strong knowledge in at least one of the following programming languages: Python, R, SQL, or SCALA. Familiarity with Big Data processing and platforms desirable. The Director, FINRA CAT (FCAT) Data Management, works across business units to promote the adoption, use, and ongoing sustainment of analytics to promote the overall quality of the Consolidated Audit Trail.
$127,300 - $296,100 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago
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