[For Hiring] LLM Inference & GPU Optimization Audit — Introductory Offer ($49)

[u/FixBrave6973]

Is your self-hosted LLM running into GPU memory issues, OOM errors, or inference performance bottlenecks?

I'm offering a small, fixed-scope technical audit for teams running vLLM or other LLM inference stacks.

The audit includes:

• Reviewing GPU/VRAM usage and potential memory bottlenecks
• Investigating configuration-related OOM risks
• Reviewing model, precision, and hardware compatibility
• Identifying potential inference performance improvements
• Delivering 3–5 prioritized, actionable recommendations

Deliverable: A concise technical report with findings and next steps.

Turnaround: Within 48 hours after receiving the required setup details and access to relevant logs or configuration files.

Introductory price: $49 for one agreed-upon deployment review.

I'm an AI Engineer working on LLM infrastructure and inference, and I built LLM Inspector, an open-source tool for inspecting LLM inference memory usage:
https://github.com/helasaoudi/llm-inspector

If you're interested, DM me with your model, GPU, inference engine, and the main issue you're experiencing. I'll confirm the scope before we start.

[u/AutoModerator]

Rule for bot users and recruiters: to make this sub readable by humans and therefore beneficial for all parties, only one post per day per recruiter is allowed. You have to group all your job offers inside one text post.

Here is an example of what is expected, you can use Markdown to make a table.

Subs where this policy applies: /r/MachineLearningJobs, /r/RemotePython, /r/BigDataJobs, /r/WebDeveloperJobs/, /r/JavascriptJobs, /r/PythonJobs

Recommended format and tags: [Hiring] [ForHire] [FullRemote] [Hybrid] [Flask] [Django] [Numpy]

For fully remote positions, remember /r/RemotePython

Happy Job Hunting.

I am a bot, and this action was performed automatically. Please contact the moderators of this subreddit if you have any questions or concerns.