Generative AI Engineer - Machine Learning/Deep Learning Models (3-6 yrs)

Job Description :

The core focus of the Generative AI engineer role is to develop cutting-edge generative models and applications. Candidate needs to have a strong background in machine learning and deep learning along with experience in evaluating, building, and deploying generative AI models.

- 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

- 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.

- 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.

- Experience working on open source LLMs like Llama, Falcon, BERT etc.