AI with GCP

About

Responsibilities

• Design and implement AI/ML models and solutions using Google Cloud Platform technologies, including Vertex AI, TensorFlow, PyTorch and Cloud TPUs.
• Design and implement AI/ML models.
• Develop a deep understanding of generative AI models and techniques, such as Text-to-Speech.
• Evaluate AI models for various applications, such as content creation, and design automation, Cloud Vision AI, Natural Language AI.
• 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.

Requirements

• Understanding of AI 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, and 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 etc.