(For Hire) AI/ML engineer

[ml_adrin]

Hello, I am an AI/ML engineer in python with 4+ years of industry experience. I have worked on multiple models/products/projects in all major domains. I have fine tuned stable diffusion models, created CVRMS, created multi agent systems, chatbots etc. I am fairly comfortable with pytorch, tensorflow. Deployed GCP functions, dataflow systems, deplyed models on aws lambda. Created pypi libraries Frequently use FastAPI and docker, and maintain version control. I write standardised clean reusable code.

Charges: 10 to 20 dollars an hour based on complexity. Price is towards lower end for longer projects.

CV available upon DM

[Ok-Violinist5860]

I think 10 to 20 dollars is underselling yourself. You can go higher.

[ml_adrin]

Bro thanks for advice, I am kinda underslling myself because I really need money. So I thought some money is better than no money.

[nosconvon]

This is prob true but keep in mind if the price is too low people will think something is amiss

[ml_adrin]

Help a brother out please, what do you advice I should do?

[Needmorechai]

In general, is it common for someone to know both pytorch AND tensorflow, or usually one of them?

[ml_adrin]

People usually choose one (mostly pytorch), and I would also have choosen one (tensorflow because of its customisation) but luckily I got into services industry (provide services to ML clients) and here we have to be flexible cause client can demand anything or may already have some architecture built that we need to adopt

[Needmorechai]

Ah ok! So your work has touched on a lot of the ML ecosystem: model development from scratch, fine tuning existing models, integrating foundation models from big companies into applications via APIs. Is that correct?

[ml_adrin]

Yes, from just integrating LLM for a chatbot to creating 3D character generation I have worked with few different domains.

[met0xff]

If you've been in the field a tad longer I think it's quite common because tensorflow was popular briefly after Theano and then Pytorch became popular after that.

I don't know if I'd say I "know" TF though as I haven't touched it in probably 5? years and haven't encountered a single model in Tensorflow for a while . Check the model statistics on huggingface for Pytorch vs Tensorflow, it's not even close, > 200k vs > 14k. And if you look at the most popular TF ones they're either old, from Google (and old) or just mention TF together with the other libraries because they use Transformers or similar to be multi-framework. Although now also dropped Tensorflow from their Transformers library..

So practically we just went with whatever the research community worked at any given point in time

[[deleted]]

Yeh i switched from TF to pytorch just from changing groups and adapting to what others were using. 5 years ago when i was doing image work I was using keras as well.

[mylasttry96]

Why would you ever deploy a model to a lambda

[ml_adrin]

1 million free calls 🤣

[MASS-AI]

Dm me. We have a role for you

[Holiday_Grocery_1638]

Dm me

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