Geneative AI Engineer - Machine Learning/Deep Learning (3-8 yrs)

Responsibilities:

Design and develop algorithms for generative models using deep learning techniques.

- Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems.

- Research and stay up-to-date on the latest advancements in generative AI technologies and methodologies.

- Optimize and fine-tune generative models for performance and efficiency.

- Troubleshoot and resolve issues related to generative AI models and implementations.

- Create and maintain documentation for generative AI models and their applications.

- Communicate complex technical concepts and findings to non-technical stakeholders.

Requirements:

- Strong background in machine learning and deep learning algorithms.

- Proficiency in Python, TensorFlow, and PyTorch for developing AI models.

- Experience in generative AI techniques such as GANs and VAEs.

- Ability to design and implement scalable and efficient AI systems.

- Advanced knowledge of natural language processing for text generation tasks.

- Familiarity with computer vision and image generation using AI.

- Skills in data preprocessing and feature engineering for AI model training.

- Strong understanding of neural network architectures and optimization techniques.

- Experience in deploying AI models into production environments.

- Ability to stay updated with the latest advancements in generative AI research and incorporate them into work.

Domain: Banking domain experience is added advantage