Senior AI Engineer

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Requirements:

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
• Basic understanding of machine learning algorithms and deep learning models.
• Hands-on experience with Python and AI frameworks (TensorFlow, PyTorch).
• Familiarity with data processing libraries like Pandas, NumPy, and the regular expression.
• Understanding of model evaluation techniques and performance metrics.

Responsibilities:

• Assist in the development, training, and fine-tuning of machine learning (ML) models.
• Design and implement data pipelines for training models on large-scale datasets, ensuring clean, high-quality, and diverse training data, and providing the ability for incremental learning.
• Implement and optimize deep learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Support research and development of AI applications in natural language processing (NLP) and predictive analytics.
• Be familiar with Docker & Kubernetes technology, and develop stable and model-integrated API services.
• Experiment with prompt engineering, few-shot learning, and fine-tuning in LLM for various business use cases.
• Optimize transformer-based models, LLM for efficiency, latency, and performance using quantization, pruning, and distillation techniques.