Comprehensive AI System Design
Budget / Salary$100,000
TypeFreelance project
LocationRemote
Posted2 hours ago
I’m preparing to build a truly end-to-end artificial intelligence solution and I need a partner who can help me “design everything.” My vision spans the full AI stack—from data pipelines and model architecture to the visual identity the user will see—so I’m looking for someone comfortable wearing both the engineer’s and the designer’s hat.
AI scope
• Primary goal: a robust artificial-intelligence-driven product capable of data analysis, task automation, and predictive insight generation.
• Area of focus: designing every layer of the solution, whether that means a classic machine-learning model, a natural-language component, computer-vision capabilities, or a thoughtful blend of all three. Python, TensorFlow/PyTorch, scikit-learn, and popular NLP or CV libraries should feel second nature to you.
Design scope
• I want “everything” here too—clean UI mock-ups, on-brand graphics, and any supporting print assets we might need for demos or investor decks. Tools such as Figma, Adobe XD/Illustrator, or Sketch are ideal; feel free to suggest alternatives you prefer.
Deliverables
1. Technical blueprint: data flow diagrams, model selection rationale, and a modular code framework ready for expansion.
2. Working prototype: an executable proof-of-concept (CLI or simple web front end) showcasing at least one key AI feature.
3. Visual package: UI screens in editable format, a small icon set, and a printable one-pager summarizing core features.
4. Handover notes: README, environment setup instructions, and future-roadmap recommendations.
Acceptance criteria
• Prototype must run locally from a fresh repo clone using documented commands.
• All design files remain fully editable and follow a consistent color/typography scheme.
• Code is commented and lint-clean; graphics are export-ready at standard resolutions.
If tackling challenges that blur the line between cutting-edge AI research and thoughtful product design excites you, let’s discuss how you’d approach this from both the algorithmic and the aesthetic angles.
AI scope
• Primary goal: a robust artificial-intelligence-driven product capable of data analysis, task automation, and predictive insight generation.
• Area of focus: designing every layer of the solution, whether that means a classic machine-learning model, a natural-language component, computer-vision capabilities, or a thoughtful blend of all three. Python, TensorFlow/PyTorch, scikit-learn, and popular NLP or CV libraries should feel second nature to you.
Design scope
• I want “everything” here too—clean UI mock-ups, on-brand graphics, and any supporting print assets we might need for demos or investor decks. Tools such as Figma, Adobe XD/Illustrator, or Sketch are ideal; feel free to suggest alternatives you prefer.
Deliverables
1. Technical blueprint: data flow diagrams, model selection rationale, and a modular code framework ready for expansion.
2. Working prototype: an executable proof-of-concept (CLI or simple web front end) showcasing at least one key AI feature.
3. Visual package: UI screens in editable format, a small icon set, and a printable one-pager summarizing core features.
4. Handover notes: README, environment setup instructions, and future-roadmap recommendations.
Acceptance criteria
• Prototype must run locally from a fresh repo clone using documented commands.
• All design files remain fully editable and follow a consistent color/typography scheme.
• Code is commented and lint-clean; graphics are export-ready at standard resolutions.
If tackling challenges that blur the line between cutting-edge AI research and thoughtful product design excites you, let’s discuss how you’d approach this from both the algorithmic and the aesthetic angles.
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