AI jobs? New Job Roles Created by AI – The 2023 viewpoint

AI jobs

The need for new skills is created – thanks to AI

In today’s rapidly evolving technological landscape, Artificial Intelligence (AI) is shaping industries and changing the way many businesses operate. While concerns about AI “taking jobs” persist, AI is not just about automation; it’s also creating new job opportunities. As AI continues to permeate various sectors, a bunch of new job roles has emerged.

New job roles as a result of the advancement of AI

  • AI Data Engineer: The Architects of Quality Data

    • Data is the fuel that powers AI. AI Data Engineers specialize in collecting, cleaning, and preprocessing data to ensure its quality for training and testing AI algorithms. They design data pipelines, implement data governance practices, and work to maintain a steady flow of accurate and relevant data for AI applications.

  • AI Infrastructure Engineer: Building the Foundation

    • Behind every successful AI system is a robust infrastructure. AI Infrastructure Engineers design, build, and maintain the technical architecture needed to support AI applications. They optimize hardware configurations, implement distributed computing systems, and manage cloud resources to ensure the seamless operation of AI technologies.

  • AI Ethics Specialist: Navigating the Ethical Dimensions

    • With great power comes great responsibility. AI Ethics Specialists play a vital role in ensuring that AI technologies are developed and used ethically. These experts focus on identifying and addressing biases, fairness issues, and potential ethical dilemmas that arise in the realm of AI. They work to ensure that AI systems align with societal norms and legal standards, promoting transparency and accountability.

  • AI Product Manager: Bridging the Gap

    • AI Product Managers serve as the crucial bridge between technical teams and business stakeholders. They possess a deep understanding of both AI technologies and market demands. These professionals shape the strategic direction of AI-powered products, manage development cycles, prioritize features, and ensure that the final products align with technical capabilities and business objectives.

  • AI Explainability Specialist: Unveiling the Black Box

    • Interpreting AI model decisions is essential for building trust. AI Explainability Specialists focus on developing techniques to make AI models’ decisions transparent and understandable. By providing insights into the reasoning behind AI predictions, they enhance user trust and regulatory compliance.

  • AI Security Analyst: Safeguarding AI Systems

    • The rising integration of AI systems brings forth new security challenges. AI Security Analysts specialize in identifying and mitigating security risks associated with AI technologies. They develop strategies to protect AI models from adversarial attacks, data breaches, and other potential threats.

TB-Group is dedicated to connecting organizations with top talent in these emerging yet hard to find AI roles. Contact us today to discover how we can help you stay at the forefront of the AI revolution.

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