Found Description
Responsibilities:
Lead the design and implementation of advanced machine learning and generative AI models for large-scale AI projects.
Collaborate with data scientists and software engineers to build and deploy scalable, production-grade ML and GenAI solutions.
Drive the end-to-end deployment of machine learning and GenAI models, ensuring seamless integration into production environments and monitoring their performance post-deployment.
Conduct in-depth data analysis and feature engineering to extract meaningful insights from complex, high-volume datasets.
Optimize and fine-tune machine learning and generative AI models to enhance accuracy, efficiency, and performance.
Stay current with the latest advancements in machine learning, generative AI (such as LLMs, diffusion models, and GANs), and apply them to improve existing systems.
Work with cross-functional teams to define project requirements and deliver high-quality...