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Job Summary:

  • Apply your expertise to help train next-generation AI systems through high-quality real-world input.
  • Work on shaping how models learn, reason, and perform.

Scope of Work:

  • Design, develop, and refine machine learning models using Python and relevant libraries.
  • Analyze large datasets and leverage MongoDB for data management and retrieval.
  • Conduct model evaluation, hyperparameter tuning, and benchmarking to ensure optimal performance.

Preferred Qualifications:

  • Demonstrated expertise with Python and ML frameworks like scikit-learn, TensorFlow, or PyTorch.
  • Hands-on experience with MongoDB for data manipulation within ML projects.
  • Strong problem-solving skills and a track record of delivering innovative ML solutions.

Client

The client is a venture-backed AI company that combines human expertise with machine learning to help build and evaluate cutting-edge AI models. They have raised over $40 million and are building a global network of experts with a focus on innovation and impact.

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