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- Tasks: Build AI-driven marketing solutions using Google Cloud technologies.
- Company: Join a dynamic consulting company at the forefront of innovation.
- Benefits: Collaborate with teams, access cutting-edge tools, and enjoy flexible work.
- Why this job: Make a real impact on marketing strategies with AI/ML solutions.
- Qualifications: Passion for AI/ML and ideally hold Google Cloud certifications.
- Other info: Contract role, working 3 days a week in London.
The predicted salary is between 43200 - 72000 £ per year.
Overview We are recruiting on behalf of our client, a consulting company, for a Google Cloud AI/ML Data Engineer. This role focuses on building AI-driven marketing automation solutions using the latest Google Cloud Platform (GCP) and Google Marketing Platform (GMP) technologies. You\’ll design and implement machine learning pipelines, manage data ingestion, and drive campaign optimisation for high-impact marketing projects.Responsibilities Lead the development of AI/ML solutions that directly influence marketing strategy.Collaborate with cross-functional teams in a fast-paced, innovative environment.Design and implement machine learning pipelines, manage data ingestion, and drive campaign optimisation.Benefits Access to the latest GCP and MarTech tools.Details This is a contract role, and will require you to work 3 days a week from their London based office.Qualifications Ideally hold one or more Google Cloud Platform certifications.
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Google Cloud AI/ML Data Engineer employer: Resource on Demand
Contact Detail:
Resource on Demand Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Google Cloud AI/ML Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with Google Cloud and AI/ML. Attend meetups or webinars to connect with potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI-driven solutions and machine learning pipelines. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've used GCP and GMP technologies in past projects, and don’t forget to highlight your problem-solving abilities!
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that match your skills. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Google Cloud AI/ML Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Google Cloud and AI/ML technologies. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or certifications!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML and how you can contribute to innovative marketing solutions. Let us know what excites you about this opportunity!
Showcase Your Projects: If you've worked on any AI-driven projects or have experience with machine learning pipelines, make sure to include those in your application. We love seeing real-world examples of your work and how you’ve tackled challenges.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Resource on Demand
✨Know Your GCP Inside Out
Make sure you’re well-versed in Google Cloud Platform. Brush up on the specific tools and services relevant to AI/ML, like BigQuery and TensorFlow. Being able to discuss how you've used these technologies in past projects will show your expertise.
✨Showcase Your Machine Learning Knowledge
Prepare to talk about your experience with machine learning pipelines. Be ready to explain your approach to data ingestion and how you’ve optimised campaigns using AI. Real-world examples will make your answers stand out!
✨Collaborate Like a Pro
Since this role involves working with cross-functional teams, be prepared to discuss your collaboration skills. Share examples of how you’ve successfully worked with different departments to achieve a common goal, especially in fast-paced environments.
✨Certifications Matter
If you hold any Google Cloud Platform certifications, flaunt them! Discuss how these qualifications have equipped you with the skills needed for the role. If you don’t have them yet, consider mentioning your plans to obtain them soon.
