We are seeking a highly skilled Google Cloud Vertex AI Engineer to join our IT Services team. In this pivotal role, you will leverage your expertise in generative and agentic AI to drive innovation and operational excellence. The position focuses on the end-to-end development and management of machine learning models, ensuring they are robust, scalable, and aligned with business objectives. You will play a critical part in advancing our technical capabilities by applying advanced cloud computing principles and sophisticated AI evaluation frameworks.
Responsibilities
Design and develop machine learning models using Google Cloud Vertex AI, ensuring optimal performance and scalability.
Lead the deployment and ongoing management of AI models within production environments.
Conduct comprehensive troubleshooting and debugging of applications to maintain system reliability.
Create and maintain detailed technical documentation to support team collaboration and knowledge sharing.
Apply prompt engineering techniques and utilize AI evaluation frameworks to refine model outputs and accuracy.
Oversee the complete lifecycle of machine learning models, from initial concept to final deployment and monitoring.
Collaborate effectively with cross-functional teams to integrate AI solutions into broader business applications.
Requirements
Requirements:
Possess 4-6 years of professional experience within the IT Services sector.
Demonstrate a strong command of cloud computing fundamentals and Google Cloud Platform services.
Show proven expertise in Generative AI, Agentic AI, and Prompt Engineering.
Have hands-on experience with Google Cloud Vertex AI for model development, deployment, and lifecycle management.
Exhibit strong skills in application troubleshooting, debugging, and technical documentation.
Display excellent capabilities in team collaboration and communication.
... and technical knowledge. • Continuously learn and adopt emerging AI technologies. Required Skills: • Google Cloud Vertex AI Model Development • Google Cloud / Cloud Computing • Machine Learning Model Deployment & Management • Application Troubleshooting & Debugging • Generative AI & Agentic AI • Prompt Engineering • AI Evaluation ...
... https://jobeax.com/link/GK6JLJWOsFhSBApv Skills : - 14 - 18 years of overall experience in Cloud/DevOps/SRE/Infrastructure Engineering.- Strong hands-on experience with Google Cloud Platform (GCP).- Expertise in Terraform and Infrastructure as Code (IaC).- Strong experience with Kubernetes and container orchestration.- Hands-on experience ...
... experience with Google Cloud Platform (GCP), Vertex AI, Document AI, and BigQuery ML.- Strong knowledge of Generative AI, Large Language Models (LLMs), Prompt Engineering, and Context Engineering.- Experience integrating LLMs such as Gemini, OpenAI, Anthropic, and/or Azure OpenAI.- Experience with AI/Agentic development frameworks ...
... (GKE)- Cloud Storage- VPC & Cloud Networking- Cloud Load Balancing- IAM & Security- Cloud SQL / databases- Cloud Monitoring & Logging- BigQuery- Understanding of cloud migration and modernization concepts.- Knowledge of Terraform, CI/CD and DevOps will be an added advantage.- Exposure to Vertex AI, Gemini/GenAI and Google Cloud ...
... independently in a remote, part-time setting. Good to Have - Google Cloud Professional Data Engineer or Professional Cloud Architect certification. - Exposure to other cloud platforms (AWS, Azure) or to Snowflake or Databricks. - Experience with data governance tools (Dataplex, Data Catalog) and data quality frameworks. - Domain ...
Role Overview :As a Senior Cloud Monitoring Engineer, you will serve as a technical authority for the observability and performance management of complex cloud ecosystems. You will work closely with cross-functional DevOps, SRE, and infrastructure teams to design, implement, and optimize monitoring strategies that ensure ...
Role Overview :As a Senior Cloud Monitoring Engineer, you will serve as a technical authority for the observability and performance management of complex cloud ecosystems. You will work closely with cross-functional DevOps, SRE, and infrastructure teams to design, implement, and optimize monitoring strategies that ensure ...
... navigate multiple frameworks and cloud environments to build resilient, observable, and scalable AI applications. Requirements What you will do... 1. Agentic AI & Multi-Agent Systems - Lead the implementation of multi-agent systems using Google AI SDKs (Vertex AI Agent Builder), LangGraph, CrewAI, and other emerging orchestration ...
... diverse teams and stakeholders. - Strong problem-solving skills and the ability to think critically in fast-paced environments. Preferred Qualifications: - Google Cloud certifications (e.g., Google Cloud Professional Cloud Architect or Google Cloud Professional DevOps Engineer) are highly desirable. - Experience with DevOps ...
... basic HTML/CSS/JS, and experience with at least one major cloud platform (Azure, GCP, or AWS). - Certifications (Any one required): - CISSP, CCSP, AZ-500, Azure AI Engineer Associate (AI-102), AWS Certified Security – Specialty, or Google Professional Cloud Security Engineer. - (Desirable: CISM, CEH, OSCP, Google PMLE, AWS ...