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Experience in big data technologies such as Spark, Hadoop, or Databricks. The ideal candidate will be responsible for architecting and overseeing the implementation of Snowflake data warehouses, optimizing performance, ensuring data security, and leading data migration efforts.
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8+ years of experience in developing business applications for Machine Learning and Data Science workloads. As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
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Demonstrated ability to develop and implement instructional approaches such as service learning/civic engagement, learning communities, and the effective use of technology. Demonstrates interest in interdisciplinary teaching, service learning, learning technologies, course development, and adult learning methodologies including collaborative learning, learning communities and distance learning.
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Experience in Big 4/public accounting performing audits and related services for a diverse client base, and at least 7-8+ years of transaction services / due diligence experience. Data gathering, manipulation, and analysis.
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Agility core practices, Analytical Thinking, Commercial Acumen, Communication, Creativity and Innovation, Data Analysis, Design approaches, Designing for climate change and zero carbon, Digital fluency, Emerging technology monitoring, Engineering evaluation, Incident investigation and learning, Inspection and monitoring strategy, Numerical modelling, Scripting, Sustainability awareness and action, Technology Development, Uncertainty Quantification.
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Additional responsibilities include supporting electrical/electronic project engineers in design of electrical power and communication subsystems of the Subsea Control System to include but not limited to, Master Control Stations (MCS), Electrical Power Units (EPU), modem racks, Hydraulic Power Units (HPU), and subsea data acquisition systems for offshore facilities.
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Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. 7+ years of direct sales experience carrying and exceeding a quota and selling enterprise software/ software-as-a-service (Business Intelligence/ Data Warehouse/ Big Data/ Advanced Analytics/ Machine Learning) to C-level executives.
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We specialize in Data Center & Network Technologies, Cloud Services, Cyber Security Solutions, IT Support Services & Collaboration Solutions, Audio Visual, Physical Security & Building Technology Solutions including IoT & Network Cabling.
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The firm is the No. 1 investment bank for global M&A transactions under $1 billion, the No. 1 M&A advisor for the past eight consecutive years in the U.S., the No. 1 global restructuring advisor for the past nine consecutive years, and the No. 1 global M&A fairness opinion advisor over the past 25 years, all based on number of transactions and according to data provided by Refinitiv.
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As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.
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Maintain a daily log of health office activities, including reportable accidents, communicable disease data, and referrals to school nurse (RN). Tools/Equipment Used: Standard medical clinic equipment such as blood pressure monitor, audiometer, glucometer, AED, titmus machine, and suction machine; special needs adaptive equipment; standard office equipment including computer and peripherals.
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Seeks opportunities to expand learning beyond baseline competencies with a focus on continual development as an EEG Technologist. Possesses basic computer knowledge to operate the necessary computer systems and software to include data entry, document printing, document scanning, and a basic understanding of Microsoft Windows, Microsoft Office and Adobe Acrobat.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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We are on a mission to evolve how we use data at Shellpoint to grow our business and fulfill theneeds of our customers. Support critical strategic initiatives and architect moderately complex data engineering projects.
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big data learning jobs Title: machine learning engineer in Houston, TX
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