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Additionally, you'll provide technical leadership in the overall Cyber Defense by ensuring Security Design & Architecture, Security Operations, Incident Response, Forensics, Penetration Testing, Network, Systems and Application Security, Risk Management, Red Teaming, Emerging Threat Analysis and Intelligence, Security Automation, Data Analytics & Machine Learning.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Cloud and/or security certifications related to Cloud Architecture, Data Engineering, DevOps Engineering, DevSecOps, and Machine Learning is advantageous. Some experience with cloud-based and on-prem data solutions (Apache Hadoop, Datastore, Firestore, Cloudera Data Platform, Big Query, Azure SQL, Cosmos DB, Red Shift, Apache Spark, ElastiCache, CloudSQL, Data Bricks, Snowflake, Apache Arrow, Apache Airflow, Flink.
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We seek instructors with professional experience in machine learning and artificial intelligence who can teach in areas relevant to AI including machine learning, deep learning, natural language processing, reinforcement learning, robotics and computer vision.
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Our openings include receptionist, data entry, customer service, collections, office managers, call center, administrative assistant, accounts payable clerk, accounts receivable clerk, file clerk, warehouse, assembly, production, pickers, packers, forklift, machine operators, and maintenance mechanics.
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The organization is responsible for leading data driven insights & innovation to support the Machine Learning needs for commercial and operational projects with a digital focus. United Airlines is seeking dedicated professionals to join the Data and Machine Learning Engineering team.
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You have great knowledge and experience in digital signal processing, statistical process control and machine learning. As a Managing Consultant in the Data Driven Transformation Practice of Capgemini Invent you will help clients in the transform and improve their operations by leveraging insights from underlying business, process and machine data.
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Experience in host-microbiome interaction modeling and/or machine learning and Artificial Intelligence in analysis of HTP biological data a plus. PreferredA demonstrated interest in creating a collaborative research environment, prior experience in multi-institution collaborations or consortia, applications of machine learning and artificial intelligence in biomedical research, and a robust publication history is preferred.
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Implement continuous integration and continuous deployment (CI/CD) for machine learning models and data pipelines. ReflexAI brings the best in machine learning and natural language processing to mission-driven, people-centric organizations via innovative tools that transform how they train, develop, and empower their frontline teams.
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Basic knowledge of digital manufacturing technologies such as digital twin, artificial intelligence, and machine learning, as well as cybersecurity guidelines and frameworks, including NIST and CIS.
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Cloud Computing – Use the full range of Microsoft Azure Services with exposure to machine learning. We are working on challenging projects, migrating ETL jobs from Talend to DataBricks, building workflow automation solutions using Microsoft Power Platform, data flows with Azure data lake storage and DevOps environment set up.
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Machine Learning Engineer – Work From HomeWe are seeking a talented and self-motivated Machine Learning Engineer to join the growing data science efforts. This includes working collaboratively with multiple trading teams, conducting alpha research, identifying new trading opportunities, and managing the full Machine Learning Operations (MLOps) stack from data collection to training, deploying, and monitoring models in production.
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We help clients improve productivity and employee engagement by leveraging intelligent process automation, RPA, Process Intelligence, data capture/OCR and Machine Learning technologies.
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Using tools such as SQL, DataBricks, Talend, Python, Microsoft Power Platform and Azure Data Factory. Continuous Learning – stay up-to-date with emerging technologies, changes in the banking industry, and regulatory developments.
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Youll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our T3 Fleet that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.
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