CI/CT & AI Integration Help
Budget / Salary₹1,500–12,500
TypeFreelance project
LocationRemote
Posted1 hour ago
I’m in the middle of adding AI-driven features to an existing web application and need a seasoned partner to make the transition smooth. My top priority right now is refining the CI/CT pipeline—choosing the right tools, structuring the stages, and automating tests and deployments so every merge ships quickly and safely.
Beyond the pipeline, I also need insight on weaving the new AI components into our current stack without creating performance bottlenecks. Guidance on model serving strategies, efficient inference, and resource management will be invaluable here. Everything lives in GitHub, so best-practice advice on branch strategy, protected environments, and pull-request workflows is part of the brief.
Deliverables
• One 60–90 minute consultation (voice or video) focused on our current CI/CT setup
• A concise written action plan detailing:
– Recommended CI/CT architecture (Docker/Kubernetes + GitHub Actions preferred)
– Performance-oriented tactics for integrating AI into the existing system
– Practical tweaks to our GitHub workflow, with sample YAML or commands where useful
Acceptance criteria
– The action plan can be executed in our environment without major re-work
– It directly addresses our performance concerns around AI integration
– All referenced tools or scripts are linked and clearly documented
If you’ve rolled out high-performing CI/CT pipelines for AI-heavy applications before, I’m ready to get started.
Beyond the pipeline, I also need insight on weaving the new AI components into our current stack without creating performance bottlenecks. Guidance on model serving strategies, efficient inference, and resource management will be invaluable here. Everything lives in GitHub, so best-practice advice on branch strategy, protected environments, and pull-request workflows is part of the brief.
Deliverables
• One 60–90 minute consultation (voice or video) focused on our current CI/CT setup
• A concise written action plan detailing:
– Recommended CI/CT architecture (Docker/Kubernetes + GitHub Actions preferred)
– Performance-oriented tactics for integrating AI into the existing system
– Practical tweaks to our GitHub workflow, with sample YAML or commands where useful
Acceptance criteria
– The action plan can be executed in our environment without major re-work
– It directly addresses our performance concerns around AI integration
– All referenced tools or scripts are linked and clearly documented
If you’ve rolled out high-performing CI/CT pipelines for AI-heavy applications before, I’m ready to get started.
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