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- Bachelor's or Master’s in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- A minimum of 2+ years of experience in NLP, machine learning, and/or computer vision.
- Strong proficiency in Python and deep learning libraries like PyTorch.
- Experience with NLP frameworks such as Hugging Face Transformers, spaCy, and OPENAI.
- Familiarity with embedding techniques including word2vec, BERT, and CLIP.
- Knowledge of vector databases and tools for similarity search like MongoDB or Pinecone.
- Understanding of data cleaning, augmentation, and model evaluation techniques.
- Develop, test, and refine prompts for AI models to ensure high-quality outputs.
- Implement and improve embedding techniques using deep learning for similarity matching.
- Apply NLP and computer vision techniques to enhance model accuracy.
- Collaborate with data teams to optimize datasets for training and fine-tuning.
- Conduct A/B tests and evaluations to improve model performance.
- Work with product teams to align AI capabilities with business needs.
- Stay updated with advancements in AI and recommend best practices.
PythonArtificial IntelligenceMachine LearningMongoDBPyTorchCollaboration
Posted 2024-11-07
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