The AI Engineer will develop, deploy, and optimize AI solutions using Google's Gemini, working with machine learning models and data pipelines in a client-focused environment.
The Opportunity
We are looking for an AI/ML Engineer who is eager to build real-world AI solutions and grow within a fast-moving, client-focused environment. In this role, you will work alongside senior engineers and data scientists to design, develop, and deploy AI applications powered by Google's Gemini Enterprise ecosystem. You will gain hands-on experience across the full delivery lifecycle — from data preparation and model development to deployment and ongoing optimization — while contributing directly to client outcomes.
This is an ideal role for someone who has a solid foundation in machine learning and wants to deepen their expertise in enterprise-grade generative AI on Google Cloud Platform (GCP).
What You Will Do
- Build and integrate AI solutions using Gemini Enterprise, including Gemini for Workspace, Vertex AI Agent Builder, and the Gemini API, to address real client business needs.
- Develop, fine-tune, and evaluate machine learning models using frameworks such as PyTorch and Scikit-Learn, under the guidance of senior team members.
- Support the design and implementation of data pipelines and preprocessing workflows to ensure high-quality inputs for model training and inference.
- Assist in deploying and monitoring models on GCP using Vertex AI, maintaining performance standards and flagging issues such as data drift or degradation.
- Work with structured and unstructured data - including text, documents, and multimodal inputs — to build Gemini-powered applications such as search, summarization, and Q&A systems.
- Collaborate with client-facing team members to understand requirements, document technical approaches, and contribute to solution design discussions.
- Stay current with developments in the Gemini ecosystem and broader generative AI landscape, bringing new ideas and approaches to the team.
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