The intern will work closely with our team to implement advanced machine learning algorithms, explore various datasets, and employ optimization strategies to achieve these goals.

Key activities:

• Conduct thorough research on state-of-the-art techniques in ASR and OCR model fine-tuning.
• Collaborate with the team to understand the current architecture and performance metrics of existing ASR and OCR models.
• Analyse ASR and OCR datasets to identify areas for improvement and develop strategies for fine-tuning.
• Implement fine-tuning algorithms such as transfer learning, data augmentation, and hyperparameter optimization to enhance model accuracy.
• Experiment with different pre-trained models and architectures to find the optimal configuration for ASR and OCR tasks.
• Evaluate model performance using appropriate metrics and provide detailed analysis reports.
• Collaborate with cross-functional teams to integrate improved ASR and OCR models into existing systems.
• Document the entire fine-tuning process, including methodologies, experiments, and outcomes, for future reference.

 Requirements:

• Grade 12 Certificate
• A Bachelor's Degree in computer science, Engineering, or a related field (or equivalent experience).
• Strong programming skills in Python and experience with machine learning libraries such as TensorFlow or PyTorch.
• Familiarity with deep learning techniques and architectures for natural language processing (NLP) and computer vision tasks.
• Knowledge of ASR and OCR concepts, including common challenges and techniques for improving accuracy.
• Ability to work independently and collaboratively in a fast-paced environment.
• Excellent problem-solving skills and attention to detail.
• Effective communication skills to present findings and collaborate with team members.

Suitably qualified candidates are invited to apply. However, only shortlisted candidates will be contacted.