GenAI Engineer (Gemini Specialist)

Eden Smith Group
London
2 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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