📋 Description

• Assist in developing, training, and fine-tuning machine learning, deep learning, and NLP models.
• Support senior engineers in designing, building, and maintaining robust data pipelines.
• Implement foundational preprocessing, feature engineering, and data validation processes.
• Contribute to testing, evaluating, and optimizing model performance for scalability and accuracy.
• Deploy machine learning models into staging and production environments under the guidance of
• Write clean, modular, and well-documented Python code for AI experiments and platform prototypes.

🎯 Requirements

• 1+ years of experience in AI/ML engineering, platform engineering, or relevant academic/internship
• Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent practical
• Solid programming skills in Python and foundational ML libraries (e.g., NumPy, Pandas
• Basic understanding of deep learning frameworks such as PyTorch or TensorFlow.
• Exposure to Natural Language Processing (NLP), Large Language Models (LLMs), or computer vision
• Understanding of data structures, algorithms, and model evaluation metrics.