Python Fullstack Engineer

CloudDevs · Latin America Only/Europe Only/UK Only/Canada Only/EMEA Only/Asia Only/Oceania Only

Company

CloudDevs

Location

Latin America Only/Europe Only/UK Only/Canada Only/EMEA Only/Asia Only/Oceania Only

Type

Full Time

Job Description

Time zones: EST (UTC -5) CST (UTC -6) MST (UTC -7) PST (UTC -8) ART (UTC -3) UTC -4 UTC -4:30 UTC -3 UTC -2 SBT (UTC +11) GMT (UTC +0) CET (UTC +1) EET (UTC +2) MSK (UTC +3) AST (UTC -4) FKST (UTC -3) NST (UTC -3:30) CEST (UTC +2) BST (UTC +1) JST (UTC +9) CST (UTC +8) WIB (UTC +7) MMT (UTC +6:30) BST (UTC +6) NPT (UTC +5:45) IST (UTC +5:30) UZT (UTC +5) IRDT (UTC +4:30) GST (UTC +4) LINT (UTC +14) TOT (UTC +13) CHAST (UTC +12:45) LHST (UTC +10:30) AEST (UTC +10) ACST (UTC +9:30) ACWST (UTC +8:45) MART (UTC -9:30) NUT (UTC -11)


CloudDevs is helping world-class venture-backed AI startups find talented AI full-stack developers. You will be employed by one of these startups and play an integral role in their early-stage growth.


Minimum qualifications:

  • Proven track record of shipping software and successfully released apps (please include names and links on your resume)
  • 5+ yrs of commercial experience using React or Vue or any JS framework on the front-end and major frameworks likeΒ  python/ go/Rails/elixir/java/flask/NodeJS on the backend.
  • Bachelor's degree in Computer Science or equivalent practical experience
  • 7+ years of work experience as a software engineer or relevant experience
  • Strong and confident communicator in English
  • Strong problem solver
  • Comfortable with collaboration and open communication across distributed teams


work:

  • Design develop and implement custom latest generative LLMs (e.g. models similar to GPT or ChatGPT or GPT4) and discriminative LLMs (e.g. models similar to BERT).
  • create wrapper apps based on ChatGTP and other LLMs
  • Design develop and implement systems for AI alignment Reinforcement Learning with Human Feedback (RLHF) instruction models and AI guardrails.
  • Conduct rigorous tests to evaluate LLMs across standardized performance benchmarks and custom evaluations.
  • Employ cutting edge Natural Language Processing (NLP) and Machine Learning (ML) techniques to solve complex natural language problems.
  • Translate technical findings into clear actionable insights for a non-technical audience.
Here’s what you need:

  • Experience with generative LLM fine-tuning and prompt engineering
  • Experience with deep learning frameworks
  • Experience with Hugging Face Transformers and other open source NLP/NLG modules

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Date Posted

09/19/2024

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