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In this role, the ideal candidate must possess broad-based knowledge of rail vehicle mechanical engineering (machine design, kinematics and vehicle dynamics, vibration control, stress analysis, materials, pneumatics, hydraulics, HVAC, door systems, and equipment reliability); demonstrated skill in vehicle track interaction principles is a plus.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Ability to develop and implement data analytics solutions, using machine learning, artificial intelligence, and business intelligence tools. Proficiency in using automation tools like Terraform, Ansible, and Jenkins for infrastructure provisioning and configuration management.
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Its proprietary ad buying engine is the first in the world to be powered entirely by autonomous Deep Learning algorithms, using neural networks to combine the power of first-party data, on-device signals, and aggregated contextual data to empower its agency and advertiser clients to generate outstanding results and reach their goals at every stage of the funnel, delivering self-driving personalized advertising fit for the cookieless future.
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Responsibilities:Design, deploy, and maintain DataBricks clusters for data processing, analytics, and machine learning. Experience in machine learning workflows within DataBricks.
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The Senior Principal Engineer- Site Reliability Engineering supporting Artificial Intelligence/Machine Learning/High Performance Compute Solutions, Service Delivery will be responsible for providing the primary management, administration, support, and ongoing maintenance of customer Platforms within a 24x7x365 datacenter environment.
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Utilizing Python machine learning, R statistical modeling, data mining, data warehousing techniques, Create data architecture, engineering and migration patterns for MSSQL, MYSQL, Oracle, IBM DB2 assisting data tier migrations with multiple technologies including No SQL/SQL, Relational, Analytical, Big Data, Data Stores, Data Warehousing, supporting Solera Technology Standards and Strategies (TSS) and Cloud Technology Mapping for software versions, licensing, cost savings and implementation in AWS.
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Familiarity with cloud platforms, particularly Azure services such as Azure Machine Learning, Azure Databricks, Azure Data Factory, or Azure Synapse Analytics. Stay up-to-date with emerging technologies, industry trends, and best practices in data science and machine learning.
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An ideal candidate has: Are interested in pursuing certified Montessori training through our Prepared Montessorian Institute (fully-sponsored) or have previously obtained a Montessori diplomaExperience working with children ages 0-3 in a group setting such as daycare, aftercare, or nurseryFamiliarity with child-led philosophies such as Reggio Emilia or Montessori and/or open to learning more.
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Experience leading an organization through operational transformation/re-engineering efforts; Improving efficiency, reducing costs through artificial intelligence, machine learning, robotic process automation, or other digital capabilities.
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The candidate will apply machine learning and deep learning techniques to solve challenges in today's image-guided radiation therapy, including real-time low-contrast liver tumor localization, automatic structure segmentation for on-line adaptive radiotherapy, and real-time MRI motion estimation and reconstruction.
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We offer a growth and learning culture which encourages and supports employee development through a wide variety of tools and resources such as the company Learning Management System, Middough Learning Center.
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Implement data processing pipelines using Azure Data Factory, Databricks, Azure Machine Learning, Azure Logic Apps, Azure Function Apps, Azure Kubernetes container and other big data services.
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Develop scalable and efficient machine learning models, ensuring optimal performance within the Azure Databricks environment. Leverage in-depth knowledge of Azure Databricks to implement and optimize machine learning workflows.
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As a Machine Learning (ML) Engineering Manager Sr you will lead a team of ML Engineer and Software Developer's to deploy machine learning models in production environments at scale.
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machine learning jobs Title: principal Company: Boeing in Dallas, TX
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