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1 week ago
Experience - 3+ years
Key Responsibilities:
- Design, develop, and deploy ML models using Python and open-source libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Train, fine-tune, and optimize existing ML models for improved accuracy and performance.
- Implement NLP solutions for text classification, sentiment analysis, entity recognition, and related tasks.
- Develop and maintain image processing and image classification models, including OCR solutions for extracting text from images.
- Collaborate with data scientists, product managers, and engineering teams to understand requirements and deliver robust ML solutions.
- Evaluate and integrate open-source ML models and tools as needed.
- Perform data pre-processing, feature engineering, and exploratory data analysis for both text and image data.
- Monitor model performance and retrain models as necessary.
- Document code, processes, and model architectures for maintainability and knowledge sharing.
Required Skills & Qualifications:
- Strong proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, OpenCV, Tesseract, etc.).
- Experience developing and training ML models in production environments.
- Solid understanding of NLP concepts and techniques (tokenization, embeddings, transformers, etc.).
- Hands-on experience with image processing, image classification, and OCR.
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