Deep Learning Engineer

Job Description

Responsibilities Evaluate and fine-tune appropriate AI/ML models , based on specific business use cases, considering accuracy, computational requirements, and scalability. Assess various model architectures to determine the most suitable solutions for different business problems Implement and deploy AI models in production environments using AryaXAI.com, ensuring seamless integration with existing systems You'll work on advanced AI architectures using state-of-the-art AI explainability, AI safety, and AI alignment techniques You'll have flexibility in picking up the specialization areas within ML/DL and problem types that address the above challenges. Collaborate with MLEs and SDE to roll out the features and manage their quality until they are fully stable. Create and maintain technical and product documentation. Qualifications Has a solid academic background in concepts of machine learning, deep learning, or reinforcement learning. Published peer-reviewed papers or contributions to open-source tools are a plus. Hands-on experience in working with deep learning frameworks like Tensorflow, Pytorch etc Enjoys working on various DL problems that involve using different types of training data sets - textual, tabular, categorical, images etc Comfortable deploying code in cloud environments/on-premise environments. 2+ years of hands-on experience in Deep Learning or Machine Learning Hands-on experience in implementing techniques like Transformer models, GANs, Deep Learning, etc.