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Building and maintaining ETL pipelines with large data sets using services such as AWS Glue, EMR, Kinesis or Kafka, CloudWatch; Python development experience with proficiency in Spark or PySpark and in using API; AWS Services such as AWS Lambda, Event Bridge, Step functions, SNS, SQS, S3 and MI models; Knowledge of machine learning, deep learning AMIs and natural language processing (NLP) techniques.
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ML | AI | Machine Learning | DevOps | Data & Analytics | Infrastructure | CI/CD | Terraform | Gitlab | Azure Devops | AWS | Azure | DataBricks | Ansible | Apache Spark | Kafka | Kubernetes | Docker | Linux.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Become an expert in all areas of development within our graph data team and work on cross-functional projects including Natural Language Processing, Machine Learning, and AI techniques driven from our cutting edge platform.
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The job: Provide customers with maintenance, repair, and installation assistance for CNC machine tools on-site or by tele. 2-5 years of experience in electrical and mechanical troubleshooting and maintenance of CNC machine tools.
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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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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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Practical experience with Large Language Models (LLMs), Machine Learning, Data Science and AI. This engineering position involves the development of a machine learning application for assisting mission control, along with training the machine learning (ML) model to identify anomalies in telemetry data.
$172,400 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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8+ years of experience in developing business applications for Machine Learning and Data Science workloads. You will work closely with data scientists, machine learning engineers, and other software engineers, using the latest tools and technologies to develop analytic solutions and integrate analytic models with existing business applications.
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Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous. Experience in Supervised and Unsupervised Machine Learning including classification, forecasting, anomaly detection, pattern recognition using variety of techniques such as decision trees, regressions, ensemble methods and boosting algorithms.
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Familiarity with machine learning model deployment and management practices is a plus. Develop and optimize data models and storage solutions (SQL, NoSQL, Data Lakes) to support operational and analytical applications, ensuring data quality and accessibility.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Act as the Lead Auditor for Healthcare Internal and Supplier Audits while driving continuous improvement and compliance to CEVA quality requirements. Support the regions delivering the level of compliance to standards ( and Global Quality Management Framework required by CEVA while boosting continuous improvement culture within the organization.
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Automation and orchestration experience with Visual Studio/VS Code, Azure Data Studio, Git, Azure DevOps, Ansible, Bicep, or Terraform is a plus. Proficiency in implementing data services including Microsoft Fabric, Azure Synapse, Databricks, Azure Data Lake, Azure Data Factory, and Self-Serve Analytics with Semantic Data Models Power BI Premium.
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Facilitation of Learning: Facilitates learning for patients and families, nursing staff, other members of the health care team and community; integrating appropriate education throughout the continuum of care to help them participate and/or make informed conclusions about their health care and treatments, including health promotion and disease prevention.
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Leverage cloud and big data solutions to develop machine learning and artificial intelligence models. Develop machine learning models which can be deployed on streaming data pipelines.
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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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machine learning data quality jobs Title: data engineer Company: Hedge Fund in Houston, TX
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