AI Model Developer

2 semanas atrás

Brasil beBeeData Tempo inteiro US$120.000 - US$240.000

As a seasoned Data Scientist, we're looking for someone to spearhead our Generative AI team's efforts in training and fine-tuning Visual Language Models (VLMs) for multimodal document understanding.

The ideal candidate will leverage their expertise in machine learning and computer vision to advance our capabilities in processing and extracting structured data from complex documents and images.

Responsibilities:

  • Develop, fine-tune, and evaluate VLMs to enhance document understanding, focusing on multimodal data such as text, images, and technical drawings.
  • Design and implement data preparation, cleaning, and augmentation processes tailored to multimodal model training, ensuring high-quality data pipelines for VLMs.
  • Leverage transfer learning and pre-trained models to accelerate model development and optimize performance on our specific data.
  • Use cloud resources to scale training and fine-tuning processes for VLMs efficiently.
  • Collaborate with data engineering and machine learning operations teams to deploy VLMs into production and monitor their performance.
  • Interpret model outputs and improve model accuracy and robustness by applying data analysis and visualization tools.
  • Experiment with and implement state-of-the-art model architectures, continuously optimizing VLM performance in a fast-paced, iterative environment.

Requirements:

  • A bachelor's degree is required; an advanced degree in computer science, data science, machine learning, or a related field is highly preferred.
  • 5+ years of experience in data science and machine learning, with expertise in VLMs or multimodal machine learning.
  • Strong experience with machine learning libraries and frameworks like PyTorch, TensorFlow, or Hugging Face.
  • Proficiency in Python, including libraries like pandas, numpy, and scikit-learn.
  • Solid understanding of deep learning techniques and experience with transfer learning, fine-tuning, and model evaluation.
  • Experience with cloud platforms for model training and deployment.
  • Familiarity with data processing and visualization tools and basic database knowledge.
  • Excellent analytical and problem-solving skills, with a strong ability to work in a collaborative environment.

We value diversity, equity, inclusion, and belonging. We welcome individuals from diverse backgrounds and perspectives, and we are committed to creating a positive workplace for all.

Equal opportunity employer: All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

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