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Expertise in digital signal processing techniques and AI/deep learning. of good machine learning practices for medical device development. and build novel machine learning algorithms for hemodynamic.
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As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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United Airlines is seeking dedicated professionals to join the Data and Machine Learning Engineering team. 6+ years of experience in machine learning, deep learning, and natural processing.
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The Data Architect will be held accountable for the following responsibilities: Define and implement the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platformsCreate standards, design patterns, and best practices for ETL development in an enterprise data warehouse environment.
$87,000 - $115,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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AWS Solution Architect Pro., Networking, and Security Specializations. Experience with aviation industry and/or design of aircraft-related systems and products (e.g. Satcom, In-Flight Entertainment, Data Recorders, Propulsion Systems, Airframes, etc.
$126,225 - $185,130 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Machine Learning Engineer – Work From HomeWe are seeking a talented and self-motivated Machine Learning Engineer to join the growing data science efforts. This includes working collaboratively with multiple trading teams, conducting alpha research, identifying new trading opportunities, and managing the full Machine Learning Operations (MLOps) stack from data collection to training, deploying, and monitoring models in production.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers.
$80,000 - $151,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Develop, maintain, and support data analysis, AI and Machine Learning pipelines. The Research Computing Center (RCC) seeks to hire an experienced Computational Scientist – Scientific–AI and Machine Learning to serve as a domain expert in supporting and advising faculty, post-docs, and graduate students on projects in a wide range of research domains.
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Experience in host-microbiome interaction modeling and/or machine learning and Artificial Intelligence in analysis of HTP biological data a plus. PreferredA demonstrated interest in creating a collaborative research environment, prior experience in multi-institution collaborations or consortia, applications of machine learning and artificial intelligence in biomedical research, and a robust publication history is preferred.
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Deep understanding of E-Commerce search solutions, query development, relevancy tuning, and implementing Natural Language Processing (NLP) use cases. Expertise in machine learning and Artificial Intelligence (AI.
$133,100 - $252,900 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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You’ll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.
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Solution Architect: Translate business problems into technical solutions, promoting broad adoption and significant business impact. Data Evangelist: Promote data product adoption through training and webinars.
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Hands-on' ABAP experience is a required; must have deep understanding of SAP S/4HANA data structures with hands-on expertise with HANA/CDS views/ Complex SQLs; experience in development of interfaces or integration of SAP GTS and Tax Engines (like Vertex) with SAP S/4HANA.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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