Generative AI Engineer - Machine Learning (4-8 yrs)

Job Description :

- 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.

- Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to integrate generative models into real-world applications.

- Provide technical expertise and guidance to team members on generative AI-related projects.

- 3 - 6 years of hands-on experience in ML domain.

- 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