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- Tasks: Build data infrastructure for intelligent systems and lead ML projects.
- Company: A leading global communications agency with a focus on innovation.
- Benefits: Hybrid working model, professional development, and well-being support.
- Why this job: Join a dynamic team and shape the future of AI/ML technologies.
- Qualifications: Extensive data engineering experience and strong programming skills.
- Other info: Collaborative environment with opportunities for career growth.
The predicted salary is between 48000 - 72000 £ per year.
A leading global communications agency is seeking a Senior Data Engineer for AI/ML to build data infrastructure for intelligent systems. Candidates should have extensive experience in data engineering, expertise in cloud platforms, and strong programming skills. This role involves championing data governance, collaborating with teams on ML projects, and leveraging big data technologies. The company offers a hybrid working model, and robust employee benefits, including opportunities for professional development and well-being support.
Senior AI Data Engineer - MLOps, Vector DBs & RAG employer: Publicis Groupe Holdings B.V
Contact Detail:
Publicis Groupe Holdings B.V Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Data Engineer - MLOps, Vector DBs & RAG
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data engineering and AI/ML. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data governance and cloud platforms, and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior AI Data Engineer - MLOps, Vector DBs & RAG
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your extensive experience in data engineering and your expertise in cloud platforms. We want to see how your strong programming skills can contribute to building data infrastructure for intelligent systems.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Senior AI Data Engineer role. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear About Your Experience: When discussing your past projects, be clear about your role and the impact you had. We’re interested in how you’ve championed data governance and collaborated on ML projects, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Publicis Groupe Holdings B.V
✨Know Your Tech Stack
Make sure you’re well-versed in the specific cloud platforms and big data technologies mentioned in the job description. Brush up on your programming skills, especially in languages relevant to AI/ML, as you might be asked to solve technical problems on the spot.
✨Showcase Your Data Governance Knowledge
Be prepared to discuss your experience with data governance. Think of examples where you’ve implemented best practices or improved data quality. This will demonstrate your ability to champion data governance effectively in the role.
✨Collaborate and Communicate
Since this role involves collaboration with various teams, think of instances where you successfully worked with others on ML projects. Highlight your communication skills and how you can bridge the gap between technical and non-technical stakeholders.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI/ML and their data infrastructure. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals, especially regarding professional development opportunities.
