GCP Vertex AI Engineer - Python

As a GCP Vertex AI Engineer with 5-16 years of experience in GenerativeAI, AI ML, and Data Science technologies, your role will involve implementing end-to-end projects utilizing GenerativeAI and building production-grade solutions. You will be responsible for working with structured and unstructured data to build RAG-based solutions, utilizing methodologies such as RAG prompt engineering, embedding, and fine-tuning. Additionally, you will be required to have hands-on experience in building GenerativeAI applications and working with cloud AI services like GCP Vertex AI, Azure AI, and AWS Bedrock. Key Responsibilities: - Implement end-to-end projects utilizing GenerativeAI - Build production-grade solutions using GenerativeAI, AI, and ML components - Work with structured and unstructured data for building RAG-based solutions - Utilize methodologies such as RAG prompt engineering, embedding, and fine-tuning - Collaborate with cloud AI services like GCP Vertex AI, Azure AI, and AWS Bedrock - Utilize agent frameworks such as Google ADK, Langgraph, and CrewAI - Utilize Python programming languages and frameworks like Flask and FastAPI - Apply deep learning concepts using TensorFlow, Python, and NLP techniques - Understand Generative AI-related concepts, methodologies, and techniques Qualifications Required: - 5-16 years of hands-on experience with GenerativeAI, AI ML, and Data Science technologies - Experience in building production-grade solutions utilizing GenerativeAI - Hands-on experience in working with cloud AI services like GCP Vertex AI, Azure AI, and AWS Bedrock - Extensive experience in Python programming languages and frameworks like Flask and FastAPI - Familiarity with AIML, deep learning, TensorFlow, Python, and NLP Please note: The job description includes a preference for experience with Al ML search and data services within the GCP ecosystem, such as GCP Vertex AI, Vertex AI Vector Search, Gemini, Cloud Run, and Cloud SQL. Other cloud experience will also be considered.,