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The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field.
$197,000 - $305,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking a highly-skilled AI Curriculum and Chatbot Development Specialist with expertise in Machine Learning, Data Science and Artificial Intelligence, with strong programming skills to develop innovative AI-focussed curriculum for various age-groups and skill levels (from middle school through college-age) and design chatbots to support the learning of this curriculum.
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Experience with Databricks for data engineering, analytics, and machine learning. Utilize Databricks for data engineering, analytics, and machine learning tasks.
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Machine Learning Workflows: Implement and optimize machine learning workflows using Databricks' integrated machine learning capabilities. Design and Develop Pipelines: You'll create scalable data processing pipelines using Azure Databricks and PySpark/Scala.
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Strong foundation in data infrastructure tooling (e.g., Spark, Airflow, AWS, Databricks) and machine learning infrastructure. Oversee the development and maintenance of scalable data and machine learning infrastructure utilizing tools such as Spark, Airflow, AWS, and Databricks.
$180,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience or interest in interactive machine learning, HCI, human-centered ML and LLM evaluation, etc. Arthur is looking for a product-focused Machine Learning Engineer to join our team, to operate with autonomy and with the support of the team to lead and build out our product vision and deliver value to our customers.
$160,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ability to develop ideas with stakeholders and turn them into rigorous solutionsProficient in Python and SQLDesired CharacteristicsWorking experience with product teams to deploy prescriptive machine learning models to drive one or more KPIs. Knowledge of enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.
$165,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. Preferred qualifications:Masters Degree in IO or Cognitive Psychology, Learning Sciences, or Human ResourcesPrevious internship or work experience in HR preferredJerry is proud to be an Equal Employment Opportunity employer.
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We are looking for a passionate Software Engineer, Big-Data Engineer, Machine-Learning Engineer, Full-stack Engineer, or UI/UX Engineer, who can contribute and make a difference in any of the different components of our Knowledge Graph Platform.
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You will be at the center of a fast-growing high-tech startup using the latest in Cloud technology, AI (Artificial Intelligence) and machine learning · Gather and incorporate customer feedback into training materials to continually improve the customer learning experience.
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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
$165,060 - $242,830 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability. Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.
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4- 8 years of experience as machine learning engineer/data scientist. Experience using machine learning libraries or platforms, including Tensorflow, Caffe, Theanos, Scikit- Learn,or ML Lib for production or commercial products.
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Databricks Machine Learning Certificate Preferable. Experience with Azure SQL Database, Azure Synapse Analytics, Azure COSMOS DB , Azure ML, other Azure services is a plus. Collaborate with teams to deliver scalable data architecture supporting analytics and business intelligence.
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machine learning jobs Title: analytics Company: Amazon in New York, Bentonville, Kansas
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