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JavaScript is like the magic behind making websites interactive. Basically, it makes Epicareer more enjoyable and engaging.
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Find tutorial for your browser below :
  1. Make sure the webpage is open.
  2. In the Safari app on your Mac, choose Safari > Preferences, then click Security.
  3. Make sure the Enable JavaScript checkbox is selected.
  4. Click Websites.
  5. On the left, click Content Blockers.
  6. Make sure Off is chosen in the pop-up menu next to the website.
  7. On the left, click Pop-up Windows.
  8. Make sure Allow is chosen in the pop-up menu next to the website.
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  2. Click. then Settings.
  3. Click Privacy and Security.
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  5. Click JavaScript.
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  1. If you're running Windows OS, in the Firefox window, click Tools > Options.
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  1. Click the "Settings and more" icon at the top right of the Edge browser window.
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  4. Scroll down and click on JavaScript.
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  1. Go to Settings.
  2. Click Advanced in the left sidebar, and click Privacy & security.
  3. Under Privacy and security, click Site settings.
  4. Click JavaScript.
  5. At the top, turn on or off Allowed (recommended).
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Jobs or company...
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Data and AI Architect

  • Full Time, onsite
  • Pinnacle Software Solutions
  • Remote, United States of America
Salary undisclosed
Checking job availability...
Original
Simplified

Job Title: Data and AI Architect
Location: Remote
Duration: 12+ Months

Job Description:
We are seeking a skilled Data and AI Architect with extensive experience in data-intensive, AI/ML-focused applications. The ideal candidate will have a strong technical background in cloud computing, big data technologies, and AI/ML platforms, coupled with leadership and communication skills.

Key Responsibilities:

  • Design and implement architectures for data-intensive and AI/ML-driven applications.
  • Leverage cloud platforms (AWS, Azure, Google Cloud Platform) for scalable and efficient solutions.
  • Work with big data tools such as Spark, Kafka, and Snowflake to manage and process large datasets.
  • Develop and deploy AI/ML solutions using platforms like TensorFlow, MLflow, and Kubeflow.
  • Apply architectural patterns (e.g., Lambda, Kappa, Event-Driven) for optimal design.
  • Utilize Agile methodologies, DevOps practices, CI/CD pipelines, and Infrastructure as Code (IaC) tools to streamline development and deployment processes.
  • Collaborate with cross-functional teams to ensure alignment with business objectives.

Mandatory Skills:

    • Minimum of 7 years of experience in software/data architecture, with a focus on data-intensive/AI/ML applications.
    • Proficiency in cloud platforms: AWS, Azure, Google Cloud Platform.
    • Expertise in big data tools: Spark, Kafka, Snowflake.
    • Experience with AI/ML platforms: TensorFlow, MLflow, Kubeflow.
    • In-depth knowledge of architectural patterns: Lambda, Kappa, Event-Driven.
    • Hands-on experience with Agile, DevOps, CI/CD, and IaC tools.
  • Strong communication and leadership abilities.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job

Job Title: Data and AI Architect
Location: Remote
Duration: 12+ Months

Job Description:
We are seeking a skilled Data and AI Architect with extensive experience in data-intensive, AI/ML-focused applications. The ideal candidate will have a strong technical background in cloud computing, big data technologies, and AI/ML platforms, coupled with leadership and communication skills.

Key Responsibilities:

  • Design and implement architectures for data-intensive and AI/ML-driven applications.
  • Leverage cloud platforms (AWS, Azure, Google Cloud Platform) for scalable and efficient solutions.
  • Work with big data tools such as Spark, Kafka, and Snowflake to manage and process large datasets.
  • Develop and deploy AI/ML solutions using platforms like TensorFlow, MLflow, and Kubeflow.
  • Apply architectural patterns (e.g., Lambda, Kappa, Event-Driven) for optimal design.
  • Utilize Agile methodologies, DevOps practices, CI/CD pipelines, and Infrastructure as Code (IaC) tools to streamline development and deployment processes.
  • Collaborate with cross-functional teams to ensure alignment with business objectives.

Mandatory Skills:

    • Minimum of 7 years of experience in software/data architecture, with a focus on data-intensive/AI/ML applications.
    • Proficiency in cloud platforms: AWS, Azure, Google Cloud Platform.
    • Expertise in big data tools: Spark, Kafka, Snowflake.
    • Experience with AI/ML platforms: TensorFlow, MLflow, Kubeflow.
    • In-depth knowledge of architectural patterns: Lambda, Kappa, Event-Driven.
    • Hands-on experience with Agile, DevOps, CI/CD, and IaC tools.
  • Strong communication and leadership abilities.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job