Design and implement Al/ML models and solutions using Google Cloud Platform technologies, including Vertex Al, TensorFlow, PyTorch and C Design and implement AI/ML models.
Develop a deep understanding of generative Al models and techniques, such as Text-to-Speech.
and evaluate Al models for various applications, such as content creation, and design automation, Cloud Vision Al, Natural Language Al. Write and maintain high-quality Python code that is efficient, scalable, and well-documented.
Collaborate with other engineers, researchers, and product managers to define requirements, brainstorm solutions, and iterate on designs. Contribute to the development of internal tools and infrastructure for AI/ML development and research.
Stay up-to-date on the latest advancements in AI/ML research and development.
Understanding of Al Chatbots and document search.
Understanding of MLOps.
Understanding of supervised learning, unsupervised learning, Video analytics, Image analytics, NLP and so on.
Understanding of exploratory data analysis, descriptive analytics, prescriptive analytics, predictive analytics and so on.
Good to have Skills-
GCP Date Engineering understanding like Bigquery, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function et