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Strategic Thinking: Ability to craft and execute a data strategy that integrates data analytics, data science, and machine learning to support business objectives and foster innovation.
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Require Master of Science in Computer Science/Engineering, Information Systems/Technology, or Engineering related or technical related fields and 3 years of experience in the job offered, software engineer/developer, systems engineer/analyst, programmer engineer/analyst, consultant or related field.
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AWS SageMaker (for end-to-end machine learning development, training and scalable machine learning in a managed cloud enviornment) Data Science & Machine Learning Frameworks.
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In HBM DEG (High Bandwidth Memory - DRAM Engineering Group), we innovate and integrate end-to-end groundbreaking front-end and backend processes with groundbreaking design, debugging various tests, and qualification techniques to develop the lowest power per bit solutions to improve customer experience in the field of ML (Machine Learning) and AI (Artificial Intelligence.
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Design, deploy, and maintain DataBricks clusters for data processing, analytics, and machine learning. Experience in machine learning workflows within DataBricks. Bachelor's/Master's in Computer Science or related field.
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Preferred] Cloud computing certification such as AWS Solutions Architect Associate, Azure Administrator or something similar. [Preferred] Bachelor's or master's degree in computer science related degree or equivalent experience.
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AI Knowledge: Familiarity with AI concepts and frameworks including Large Language Models(LLM) OpenAI Natural Language Processing (NLP) Machine Learning (ML) Azure Cognitive Services and AI Builder.
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1-2 years of experience applying machine learning, data science and LLMs (GPT, LIama 3, Gemini) in business environments. Proficiency in programming languages such as Python, R, or Scala, with experience in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn.
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Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. The ideal candidate will possess a deep understanding of AI, machine learning algorithms, and computer vision technologies, with a strong emphasis on model training using TensorFlow, TensorFlow Object Detection API, and OpenCV for custom object tracking.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Create and maintain machine learning and statistical models. Active Google Cloud Data Engineer Certification Hands on in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Python, Pyspark, Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/ composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & GitHub.
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The Technical Manager - Cloud Security Engineering will manage and lead a team of technical security engineering experts as part of the DevSecOps program within Enterprise Security and Fraud. This role will manage the life cycle of various inhouse and vendor DevSecOps security tools to perform SAST, Open-Source Vulnerability Scanning, Cloud application scanning, Runtime Scanning, etc.
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Candidate must be familiar with software such as: Canvas, Zoom, Adobe Captivate, Camtasia, SnagIt, non-linear video editing software, audio editing software as well as possess knowledge of emerging technologies as related to teaching and learning.
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You may find yourself juggling net new reference architecture builds in AWS Cloud Development Kit (CDK), Azure Blueprints, GCP Deployment Manager, HashiCorp Terraform, writing Identity and Access Manager (IAM) policies, building GitHub Actions (GHA) workflows, instrumenting net new code bases, deploying Cloud Custodian policies, remediating security incidents, teaching developers about AWS, GCP or Azure or working with and managing external vendors to implement net new technologies.
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Stay up-to-date with industry trends and emerging technologies in cloud computing. Bachelor's degree in Computer Science, Information Technology, or related field; or equivalent related work or military experience.
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machine learning computer science cloud computing jobs Company: Houston Community College System in Dallas, TX
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