Associate (ML & Deep Learning)

You will be joining a European-based MNC that is transitioning its operations to Bangalore in a Hybrid work mode. As part of the team, you will need to demonstrate expertise in Core Machine Learning & Deep Learning. This includes a solid grasp of Transformer architectures such as ViT, CLIP, and BERT, as well as experience with contrastive learning techniques like SimCLR, MoCo, and CLIP. Additionally, knowledge of temporal embeddings and sequence modeling for video, fine-tuning large pre-trained models, and a comprehensive understanding of Deep Learning concepts will be essential for this role. Your technical and engineering skills should include proficiency in Python and deep learning frameworks like PyTorch (preferred) or TensorFlow. Familiarity with StreetClip or similar multimodal models, experience with video data pipelines, and the ability to optimize model training and inference for performance and scalability will be key responsibilities. In terms of data and evaluation, you should have experience working with large-scale video datasets such as Kinetics, HowTo100M, etc. Knowledge of evaluation metrics for video understanding and retrieval tasks, familiarity with embedding spaces, similarity metrics, and retrieval systems will also be required. It would be beneficial to have experience with multimodal learning (vision + text), familiarity with distributed training and model deployment, as well as contributions to open-source projects or publications in relevant areas. Ideally, you should hold a degree in Computer Science, Machine Learning, or a related field (Masters or PhD preferred) and have at least 3 years of experience in deep learning or computer vision projects. If you meet these qualifications and skills, please share your profiles at hiring@khey-digit.com.,