Prompt Engineer at Madebyhumans

Posted on (9 months ago)

Jakarta Metropolitan Area, Indonesia
Remote

Job Type: Full-time

Experience Level: Associate

Job Description

Madebyhumans is looking for next generation Data Scientist with creative implementation to create AI generative art! PORTFOLIO REQUIRED. Please provide what you did with generative AI as submission.

Responsibilities

  • Process raw data and analyze using data science method.
  • Generate images using prompt engineering in stable diffusion.
  • Deploy LLM and Stable Diffusion solutions.
  • Create Generative AI solution for audio, visual and text implementation.
  • Fine tuning current LLM and Stable Diffusion model.
  • Up to date with current and upcoming GenAI technology development.

Requirements

  • Bachelor Degree/ Background in Data Science, Computer Science, Statistics Mathematics, Engineering or other quantitative fields
  • Solid background in machine learning, deep learning, statistical modeling, and data modeling. Able to design, implement, and evaluate machine learning models effectively.
  • Proficient with Python, Jupyter, Matplotlib, Seaborn, Pandas, Numpy, tensorflow, pytorch, hugging face and any relevant Data Science library.
  • Proficient with SD GUI such as Automatic1111 or Comfy UI.
  • Proficient with SD concept such as Lora and Controlnet.
  • Proficient with Langchain.
  • Expertise in prompt engineering for Chat GPT and SDXL.
  • Able to deploy model with docker, streamlit, aws, gcp and any other relevant deployment method.
  • Familiar with modern Generative AI API such as OpenAI's Chat GPT, Llama, ElevenLabs API, Resemble API and more.
  • Strong software engineering skills with a focus on writing clean, efficient, and maintainable code.
  • Experience with automated machine learning platforms for model development, training, and deployment.
  • Exceptional problem-solving skills, capable of breaking down complex problems and making data-driven decisions.
  • Excellent communication skills, capable of presenting complex findings in a clear and understandable manner to diverse audiences.