ML Engineer Intern

Role

Key Responsibilities

• Conduct in-depth research by reading academic papers and identifying state-of-the-art methods relevant to our domain.
• Build, train, and fine-tune multi-modal models to accurately extract and process information from unstructured data.
• Curate and manage custom datasets , ensuring they are tailored for training and benchmarking models.
• Experiment with and improve state-of-the-art machine learning and deep learning models to achieve higher accuracy and efficiency.
• Benchmark model performance against datasets, focusing on accuracy, efficiency, and robustness.

Requirements

• Currently pursuing or recently completed a degree in Computer Science , Data Science , or a related field with a focus on AI/ML .
• Demonstrated experience in academic research, projects, or publications related to AI/ML, particularly in the areas of multi-modal models and transformer-based architectures.
• Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow or PyTorch .
• Experience with deploying machine learning models, including containerization using Docker and other MLOps tools (e.g., MLFlow, Kubernetes, or similar).
• Knowledge of end-to-end deployment pipelines.

Compensation