GenAI Engineer (Gemini Specialist)

Eden Smith Group

London

10 months ago

Applications closed

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Job Title: GenAI Engineer (Google Gemini Specialist)

We are seeking a talented and innovativeGenAI Engineerwith expertise inGoogle Geminito join our team. This is a unique opportunity to work at the forefront of AI technology, developing and deploying cutting-edge Generative AI solutions to solve complex business challenges. If you are passionate about AI and eager to harness the power of Google’s Gemini models, we want to hear from you.

Key Responsibilities

Design, develop and implement AI models using Google Gemini, tailoring solutions to meet specific business needs.
Fine-tune and optimise Gemini models for accuracy, efficiency and scalability.
Integrate Generative AI into existing products and services, ensuring seamless deployment.
Collaborate with data scientists, AI engineers and product teams to build AI-driven applications.
Monitor model performance, retraining as needed and mitigating risks related to AI biases and inaccuracies.
Stay updated with the latest advancements in AI and Google’s AI ecosystem, driving innovation within the team.
Document AI solutions and provide technical guidance to stakeholders.

Skills & Experience

Experience having built an ML Platform and/or GenAI Platform
Senior Data Science and Machine Learning Engineering resources — around 5 years plus experience
Experience in the Financial Services and Insurance industry
Google Cloud Platform expertise
Ability to help architect and design ML Platforms for scalable solutions
Experience with GenAI models — not specifically Gemini only but also the ability to apply open-source models where necessary
Experience migrating models from Dataiku or similar into the Google Cloud estate
Ability to create AI models (non-GenAI) to production level
Understanding and experience in ML platform monitoring
Experience in machine learning model monitoring, including data drift/concept drift
Experience in implementing standardised guardrail deployment — ensuring scalability and security across platforms
Proven experience in AI/ML engineering with a strong focus on Generative AI.
Hands-on experience with Google Gemini models and associated AI/ML tools within Google Cloud Platform (GCP).

Desirable

Google Cloud AI/ML certifications.
Experience with AI ethics, AI governance and responsible AI practices.
Knowledge of multi-modal AI applications (text, image, audio processing).

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