Generative AI Engineer - Deep Learning

Job Description : - Proven experience in developing generative models, with expertise in deep learning frameworks such as TensorFlow or PyTorch. - Strong programming skills in languages like Python and proficiency in machine learning libraries. - Solid understanding of neural network architectures, optimization techniques, and training methodologies - Work experience on cloud platforms like AWS/Azure/GCP is desired. - Design, develop, and implement state-of-the-art generative models for various applications, such as image synthesis, text generation, and content creation. - Experience working on open source LLMs like Llama, Falcon, BERT etc. - Pre-process and analyze large datasets to extract meaningful features and patterns suitable for training generative models. - Optimize and fine-tune generative models for efficiency, scalability, and improved performance. - Implement strategies for reducing model latency and resource consumption. - Develop and implement robust evaluation metrics to assess the performance and quality of generative models. - Document code, models, and methodologies thoroughly to facilitate knowledge sharing and future development. - Stay updated with the latest advancements in generative models, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other relevant techniques. - Stay at the forefront of the latest research papers and publications in the field of generative AI. - Contribute to the company's intellectual property by researching and developing novel approaches to address specific business challenges. (ref:hirist.tech)

Location: in, IN

Posted Date: 11/27/2024