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Puneet Jindal · @puneetjindal

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Building A Career In Ai

From linkedin.com/in/puneetjindalisb

The offer provides no guarantee of consistent work or any work.

Accounts can be suspended at any time with no advance notice.

Hourly rates mentioned vary from $25 to $60, with a claim of "up to $60+ per hour".

I label this remote generative‑AI gig as a scam because the high‑pay promise lacks work guarantees, stable rates, and account security.

If your career is in software quality assurance and you are interested in machine learning or generative AI, I am encouraging you to vote on the upcoming initiative.

On 2024-07-22 04:30 UTC a candidate replied to my outreach: "Puneet, I would love to explore but I fear whether I will be able to come out best on this since I don't know machine learning and Generative AI."

Typical compensation uplift after adding MLOps skills: +15 % base salary within 12 months (industry surveys, 2024).

Time‑to‑production reduction when using automated pipelines: from 4 weeks to 1 week (internal case studies, 2023‑2024).

Model performance gains from hybrid approach (baseline classical model + generative augmentation): +8 % accuracy on benchmark dataset (internal experiment, Sep 2024).

I recently interacted with 100+ students from Thapar Institute of Engineering & Technology, many of whom expressed difficulty breaking into machine‑learning (ML) roles straight after graduation.

I recorded that the interaction involved 100+ students.

I decided to fast‑track applications for candidates who have solid software‑engineering experience (Python, C++, OOP) and some open‑source contributions, but are relatively new to ML.

This hiring approach builds a pipeline from strong software foundations toward ML responsibilities, often via freelance, pilot projects, or startup collaborations.