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- Tasks: Design and implement AI models using Google Gemini to tackle business challenges.
- Company: Join a cutting-edge team at the forefront of AI technology.
- Benefits: Enjoy a contract role with opportunities for innovation and collaboration.
- Why this job: Be part of a dynamic environment that drives AI advancements and impacts industries.
- Qualifications: 5+ years in AI/ML engineering, experience with Google Gemini and financial services.
- Other info: Referrals can double your chances of landing an interview!
The predicted salary is between 48000 - 84000 £ per year.
Get AI-powered advice on this job and more exclusive features.
Job Title: GenAI Engineer (Google Gemini Specialist)
We are seeking a talented and innovative GenAI Engineer with expertise in Google Gemini to 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
- 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 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).
- 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).
Seniority Level
Mid-Senior level
Employment Type
Contract
Job Function
IT Services and IT Consulting, Financial Services, and Insurance
Referrals increase your chances of interviewing at Eden Smith Group by 2x.
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GenAI Engineer (Gemini Specialist) employer: Eden Smith Group
Contact Detail:
Eden Smith Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Engineer (Gemini Specialist)
✨Tip Number 1
Make sure to showcase your hands-on experience with Google Gemini models in your conversations. Discuss specific projects where you've implemented these models, as this will demonstrate your expertise and passion for the technology.
✨Tip Number 2
Network with professionals in the AI and financial services sectors. Attend relevant meetups or webinars to connect with others who work with Generative AI, as referrals can significantly boost your chances of landing an interview.
✨Tip Number 3
Stay updated on the latest advancements in AI and Google’s ecosystem. Being knowledgeable about recent developments will not only help you in interviews but also show your commitment to continuous learning in this fast-paced field.
✨Tip Number 4
Prepare to discuss your understanding of AI ethics and governance. Given the focus on responsible AI practices, being able to articulate your approach to these topics will set you apart from other candidates.
We think you need these skills to ace GenAI Engineer (Gemini Specialist)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Google Gemini and Generative AI. Focus on relevant projects and skills that align with the job description, especially in AI/ML engineering.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your specific expertise with Google Gemini. Mention how your background in the Financial Services and Insurance industry makes you a great fit for the role.
Highlight Relevant Projects: In your application, include specific examples of projects where you've designed or implemented AI models. Emphasize your experience with model optimization and deployment in cloud environments.
Showcase Continuous Learning: Mention any certifications or courses related to Google Cloud AI/ML that you've completed. This demonstrates your commitment to staying updated with the latest advancements in AI technology.
How to prepare for a job interview at Eden Smith Group
✨Showcase Your Expertise in Google Gemini
Be prepared to discuss your hands-on experience with Google Gemini models. Highlight specific projects where you've implemented or fine-tuned these models, and be ready to explain the impact of your work on business outcomes.
✨Demonstrate Your Understanding of AI Ethics
Given the importance of responsible AI practices, be sure to articulate your knowledge of AI ethics and governance. Share examples of how you've addressed biases in AI models or ensured compliance with ethical standards in previous roles.
✨Prepare for Technical Questions
Expect technical questions related to machine learning platforms and generative AI. Brush up on your understanding of model monitoring, deployment strategies, and the integration of AI solutions into existing products.
✨Collaborate and Communicate Effectively
Since collaboration is key in this role, be ready to discuss how you've worked with cross-functional teams in the past. Emphasize your communication skills and your ability to provide technical guidance to stakeholders.
