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Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks. Title: Lead Data Engineer - Databricks. We are currently seeking a Data Technical Lead ( Apache Spark, Pyspark and Databricks ) to join our team.
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Background (1+ years) in a DevOps or MLOps role, building machine learning infrastructure with tools like Terraform or Google Cloud Deployment Manager. If you are looking for a mentoring, collegial environment with a culture of performance & accountability with a technical leadership team, than this role is perfect for you to develop your skills in data engineering, machine learning operations, and leadership.
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Strong hands-on experience of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, LLMs.
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This is a full-time role for an MLops Engineer at Ascentt located in Plano, TX. As an MLops Engineer, you will be responsible for performing day-to-day tasks related to machine learning operations, ensuring the seamless integration and deployment of machine learning models.
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We are in the search for a skilled Machine Learning Engineer to join our team in the detail oriented Services industry. A minimum of 5 years of experience as a Machine Learning Engineer or in a similar role within the detail oriented Services industry.
$150,000 - $160,000 a yearFull-timeExpandUpdated 2 days ago - UpvoteDownvoteShare Job
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Familiarity with advanced analytics techniques, such as predictive modeling or machine learning using technologies such as Microsoft Azure Machine Learning or Python. Business Intelligence/Power BI Developer.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Should have achieved mastery in one of the SecDevops practices IaC-Terraform, Cloud-AWS, CICD-Git/Argo, microservices architecture deployment (primarily Kubernetes) with awareness about site reliability engineering principles, coupled with a willingness to learn and expand the knowledge.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
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Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices. Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices.
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WebSphere Application Server (WAS), WAS ND, WebSphere Commerce Server (WCS), WebSphere eXtreme Scale (WXS), WebSphere Process Server (WPS), WebSphere Business Monitor (WBM), WebSphere Service Registry and Repository (WSSR), administration, configuration, performance tuning, security, monitoring, deployment, testing and troubleshooting.
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Proficiency in creating training materials and using e-learning authoring tools (e.g., Articulate Storyline, Adobe Captivate). Utilize e-learning authoring tools (e.g., Articulate Storyline, Adobe Captivate) to create interactive and engaging online courses.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Proficiency with Windows OS, Linux OS, iOS, Android OS, and macOS applications (Installation, troubleshooting, debugging), along with deployment tools (SCCM, GPO, AD, JAMF) Fundamental understanding of Kubernetes, GCP, and AWS for troubleshooting cloud agent deployment and data extraction.
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Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. As a GenAI Engineer with NTT DATA, you will be at the forefront of innovation, leveraging your skills to design and implement cutting-edge AI solutions.
$120,525 - $200,875 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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As a Precision employee, you will be collaborating with experts across a diverse array of fields–including neurosurgery, mechanical engineering, machine learning, and microfabrication–to push the boundaries of what is possible.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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deployment engineer machine learning jobs Company: Clearancejobs in Plano, TX
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