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Experience in the Design and implementation of AI/ML models and solutions using Google Cloud Platform technologies, including but not limited to Vertex AI , BigQuery, AI Platform, TensorFlow Extended (TFX), Dataflow, and Compute Engine.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Demonstrated experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors with Python, R, SAS, SQL, MATLAB, DataRobot or similar statistical and scripting tools.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Expertise with deep learning frameworks (e.g., TensorFlow, PyTorch). Production experience implementing machine learning pipelines and models at scale in Python, Java, Scala, or similar languages.
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Proficiency in at least one programming language and framework (e.g. Ruby on Rails, Python, Phoenix/Elixir, Java). More than half of the Fortune 500 and more than two thirds of the Fortune 100 trust PagerDuty including Cisco, Cox Automotive, DoorDash, Electronic Arts, Genentech, Shopify, Zoom and more.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Proficiency in Python and Shell and any other languages used in system tooling (e.g. Ruby, Perl) Proficiency in operating application stack environments such as Hyperion, Agile, Oracle Fusion, Oracle EBS, UiPath, or Vertex.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Shell scripting, Python (e.g., web scraping to support Palo Alto firewalls for external blocklists) Shell scripting, Python (e.g., web scraping to support Palo Alto firewalls for external blocklists.
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Experience automating tasks with scripting languages such as Python, Bash, Javascript/Typescript. Experience with languages such as Java and Python (preferred), bash and RESTful API. Experience in any combination of: OKE, Docker, Terraform, Chef, Ansible, Grafana, Prometheus, ELK.
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As a Software Developer using Java, Ruby, Python, MySQL, Postgres, as well as Microservices, cloud tools such as AWS, and software delivery pipelines, CI/CD systems, and software deployment and orchestration systems including Kubernetes and/or Docker.
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Working knowledge in API, Microservices, Webservices, Rest APIs, Cloud native technologies and Application Development involving Java, React, Python, Springboot, databases etc. We are seeking a passionate Associate Software Engineer to join our Technology Integrations team to help build the next generation of Technology Platforms and integrations for Marriott International.
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Experience in SQL, PLSQL, Python or any other data analysis tool will be added advantage. Experience working in Financial Services industry, preferably Risk/Compliance/AML/Investment Banking/Capital Markets/ Trade Surveillance/Operational Risk/Credit Risk space.
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Scripting knowledge Linux scripting (bash), Windows scripting, Python or Perl. Good knowledge or experience in software security such as crypto, encryption, PKI, web security. Champion the Xylem security SDLC. This includes security testing, penetration testing, and identifying and fixing vulnerabilities in software and applications on all Xylem products.
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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.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience building tools or automation in languages such as Python or Perl and shell scripting (bash/ksh). As a UNIX/Linux systems engineer supporting our internal development and testing systems, you will flex your creativity and technical prowess to support the 9,000+ datacenter-housed systems that help Epic improve healthcare delivery for over 72% of patients in the United States, and around the world.
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Skills required: Azure Data Factory, DataBricks, Data Lake Architecture, Azure DevOps, Python, SQL, solid understanding of Azure fundamentals and security best practices, Release management. 1-2 years' experience with Azure DataBricks and Python.
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Ability of using tools like PySpark/Spark, SAS, R, Python, Bayesian, H2O, Storm, Yarn, SQL, Azure DevOps, GitHub and Kafka. Ability of using tools like PySpark/Spark, SAS, R, Python, Bayesian, H2O, Storm, Yarn, SQL, Azure DevOps, GitHub and Kafka.
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