Information Technology, AI and Data Sciences

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22 roles
Cluster overview

What this career cluster covers

This cluster groups related career paths that share similar industries, skills, work environments, and education pathways.

Roles included

22 career roles

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AI Prompt engineering AI Research Scientist Air Traffic Controller Artificial Intelligence and Data Engineeeing Blockchain Developer Business Intelligence Developer Cloud and DevOps Cloud Architect +14 more

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AI Prompt engineering

Science (PCM)
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This career involves crafting precise instructions, known as prompts, to guide artificial intelligence models, particularly large language models (LLMs), in generating desired outputs. It requires a deep understanding of how AI processes information and the ability to translate human intent into effective machine-readable commands. Professionals in this field continuously experiment and refine prompts to optimize AI performance for various tasks and applications.

AI Research Scientist

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AI Research Scientists focus on advancing the field of artificial intelligence through theoretical and practical research. They design, develop, and implement novel algorithms and models to solve complex problems, pushing the boundaries of machine learning, deep learning, and other AI subfields. Their work often involves experimentation, data analysis, and contributing to scientific publications.

Air Traffic Controller

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Air Traffic Controllers (ATCOs) are responsible for managing aircraft movements in controlled airspace and on the ground. They ensure the safe, orderly, and expeditious flow of air traffic to prevent collisions and maintain efficient operations.

Artificial Intelligence and Data Engineeeing

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Designs, develops, and implements AI models and data-driven solutions. Analyzes complex datasets to extract actionable insights and builds intelligent systems that automate tasks and enhance decision-making.

Blockchain Developer

Science (PCM)
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Engineers trust architectures by transforming vulnerable ledger systems into unalterable, globally decentralized smart contract networks. This field involves understanding cryptographic validation algorithms and consensus mechanics to build secure digital commerce platforms.

Cloud Architect

Science (PCM)
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A career where you get to build digital fortresses and turn raw servers into highly resilient, globally scalable cloud ecosystems; this field is all about learning the secrets of distributed architecture, experimenting with automation scripts, and keeping the foundational internet running without a second of downtime.

Computer Scince and engineeringing

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A career where you get to architect digital ecosystems and turn abstract algorithmic logic into highly distributed, low-latency enterprise computational infrastructure; this field is all about learning the secrets of multi-core processing architecture and decentralized network topologies, experimenting with complex compiler optimization passes, and powering global technical systems.

Cybersecurity Analyst

Science (PCM)
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A career where you get to stand as a digital sentry and turn active malicious breaches and infrastructure vulnerabilities into ironclad, threat-resistant software networks; this field is all about learning the secrets of adversarial exploitation vectors and network firewalls, experimenting with real-time penetration tests, and shielding high-value enterprise data.

Cybersecurity Expert

Science (PCM)
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A career where you get to design zero-trust ecosystems and turn highly sophisticated state-sponsored cyber offensives into completely toothless, safely contained system sandboxes; this field is all about uncovering the deepest secrets of digital cryptanalysis and memory forensics, experimenting with defensive security protocols, and insulating corporate data infrastructure.

Data Scientist

Science (PCM)
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A career where you get to predict future shifts in behavior and turn massive, disorganized multi-terabyte data reservoirs into crystal-clear predictive algorithms; this field is all about uncovering the secrets of machine learning architectures and statistical inference, experimenting with training datasets, and mapping out structural market strategies.

Software Developer

Science (PCM)
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A career where you get to craft functional reality out of thin air and turn blank text editors into highly scalable, beautifully intuitive web or desktop applications; this field is all about learning the secrets of complex algorithmic structures and code design patterns, experimenting with software logic pipelines, and engineering tools users love.

Systems Analyst

Science (PCM)
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A career where you get to audit tech infrastructure and turn fragmented, legacy software systems into tightly integrated, highly performant corporate digital frameworks; this field is all about uncovering the secrets of enterprise technical blueprints and data mapping, experimenting with new platform architectures, and aligning business operations with tech pipelines.