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Java, Python, ScalaExperience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence.
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Python, Shell Scripting, Linux-based operating systems, Machine learning and image processing applicationsThe essential requirements of the job include: Master’s degree in electrical/computer/biomedical engineering.
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Certifications or experience with relevant cloud platforms or data analytics technologies, such as Databricks (Fundamentals, GenAI Fundamentals, AWS Platform Architect, Platform Admin) and AWS (Cloud Practitioner, AI Practitioner, Solutions Architect, DevOps Engineer, Developer)Understanding of cloud data warehousing, ETL, and business intelligence concepts.
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This includes but is not limited to: machine setups, troubleshooting, changeovers, proper running, procedural adjustments, sanitation cleanup, preventative maintenance and shutdown. Monitors and adjusts each machine to ensure proper cut off of film and bags have proper end seals and back seals as required.
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Includes but not limited to: circular saw, power drill, bench grinder, string trimmer, hedge trimmer, power floor cleaner, carpet cleaner, paint sprayer, power drain cleaner, chain saw, and key machine.
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Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics.
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Collaborate with cross-functional partners, including product managers, engineers, and data scientists, to identify opportunities for business impact, understand and prioritize requirements for machine learning systems and data pipelines, and drive engineering decisions while quantifying impact.
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Wolters Kluwer Tax & Accounting North America is looking for a Sr. Field Sales Manager to join our Research & Learning team in a remote home office in the Northeast! As a Sr. Field Sales Manager for Wolters Kluwer Research & Learning, you will have primary responsibility for driving profitable sales growth in assigned accounting firms within a geographic territory that meets or exceeds sales goals.
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Proficient in a scripting language such as Python, PowerShell, or VBA.Licenses and CertificationsOne or more technical or cybersecurity certification preferred (e.g., CISSP, CISA, CISM, CCSP, CRISC, CEH, Security+, GSEC, SSCP)Who We Hire.
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Knowledge of advanced analytics techniques, machine learning, and AI/ML concepts. Innovation and Continuous Learning: Passion for innovation and staying abreast of the latest trends, technologies, and best practices in business intelligence, data analytics, and AI/ML.Commitment to continuous learning and professional development to enhance skills and capabilities.
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Extensive experience in Data Governance, Data Modeling, Data Security, Data Strategy, Data Integration, and Master Data Management (MDM). Key Responsibilities:Act as a strategic advisor to clients, driving the formulation of Enterprise Data roadmaps by identifying current setup gaps and charting a path forward.
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The candidate will be involved in ingesting data from the silver layer and applying transformation logic using python for Data Marts in gold layer. - At least two (2) years of experience with Databricks- Expertise in designing and deploying data applications on cloud solutions, such as Azure or AWS- Comprehensive understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching.
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Monitor ongoing progress and adapt the learning plan as needed in collaboration with the RN preceptors, Clinical Leaders, and Nurse Directors across the perioperative services including Operating Room, Endoscopy, and PACU. Assess the learning needs of experienced staff, prepare and present appropriate educational programs, including annual skills day.
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Leverage advanced analytical techniques (e.g. predictive modeling, causal inference, machine learning, AI) to uncover hidden patterns, identify growth opportunities, and guide strategic decision-making.
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Programming Skills: Fluency in Python or substantial experience in Scala and Java. Database Proficiency: Skilled in working with various data stores, including MySQL, Postgres, Scylla, DynamoDB, and Redis.
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