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Specific knowledge of platforms and technologies including SaaS (such as Salesforce.com, ServiceNow), Cloud Hosting (Azure, AWS), ERP Platforms (such as Oracle), Integration and integration frameworks, Business Intelligence & Analytics, Big Data, Reporting and Visualization, Document & Contract Lifecycle Management, Energy Systems and Energy Operations, Construction and Project Management Platforms, RPA, Gen AI, etc.
$137,000 - $186,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Support the collection and analysis of social-emotional learning universal screener data to build multi-tiered supports and services. Collaborate with the Director of Student Services on social-emotional learning across tiers, including the development and execution of policies, such as crisis response, mandated reporting, suicide awareness and prevention, etc.
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We are seeking a Deep Learning Research Scientist who is passionate about expanding the limits of deep learning capabilities. As a Research Scientist at Dessa, you will create novel deep learning systems with the capability to perform tasks that were once considered unattainable.
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More About OSAROOSARO is a San Francisco-based startup company building machine learning software for industrial automation, to power robots in logistics and material handling centers. You will collaborate with Operations, Software, and Machine Learning teams to research, design, integrate, test and deploy new robotic hardware including: robot cell designs, end effectors, cameras, lighting, HW control devices (PLCs, I/O couplers, sensors, etc), pneumatics, actuators, custom mechanisms.
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Manage clinic and externship physical space, including storage, filing systems, student workstations, conference rooms and administrative work areas (such as copiers/printers/fax machine). Program Assistant V, Experiential Learning Programs.
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Hands-on experience with deploying models to production and building ML pipelines (Docker, CI/CD/CT) Experience with Time Series and NLP problems Solid Knowledge of Supervised and Unsupervised Machine Learning Models Knowledge of Feature Engineering, Data Wrangling/Cleaning Knowledge of Jupyter notebooks and big data environments/training (Spark, Hadoop, etc.
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We’re searching for a Software Engineer to focus on ML AcceleratorsIn this role, you willWork closely with our autonomy and hardware teams to understand our on-vehicle ML technologyDevelop perspectives on where opportunities and gaps might be in our machine learning software and hardware strategy with a longer-term horizon in mindMaintain relationships and intel across the ML ecosystem including both established players and start-ups (accelerators, software modules, etc.
$212,000 - $340,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities. We oversee the analytics that enable our leaders to make data-driven decisions and lay the groundwork for an integrated financial and operational plan.
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We value passionate, down to earth, “can do” people who enjoy fine-tuning small details, without losing sight of the big picture. Own data engineering infrastructure to drive and enable statistical, optimization, AI/ML models and usage.
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Proficiency in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Snowflake, Cassandra, Aurora.
$165,800 - $265,625 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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4+ years experience in engineering data pipelines using big data technologies (Python, pySpark, Real-time data platform like Active MQ or Kafka or Kinesis) on large scale data sets.
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Pearson VUE is a business of Pearson, the world’s leading learning company with global-reach and market-leading businesses. Pearson VUE provides a full suite of services from test development to data management and delivers exams through the world’s most comprehensive and secure network of test centers in more than 180 countries, where we validate the skills and knowledge of millions of individuals every year.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.
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Implement Common Core State Standards-aligned and Science of Reading-aligned curriculum and lessons that build and integrate rigorous and student-centered learning experiences in English in partnership with Mandarin Chinese co-teacher leading other subjects (i.e. Chinese language arts, mathematics, social science, science.
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In depth expertise with streaming data components Kafka, Spark, Flink Hadoop, Presto/Trino, RedisDemonstrated leadership, mentoring, and collaboration skills balancing strategic and tactical needs.
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