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- Tasks: Analyse large datasets and create scalable AI solutions using Generative AI.
- Company: Leading tech solutions provider in Birmingham with a focus on innovation.
- Benefits: Hybrid working arrangement, fostering collaboration and creativity.
- Other info: Collaborative setting that encourages problem-solving and innovation.
- Why this job: Join a dynamic team and make an impact in the AI field.
- Qualifications: 5+ years experience in data analysis, Python, SQL, and cloud environments.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology solutions provider in Birmingham seeks an experienced Data Analyst / AI Engineer. The role involves analyzing large datasets to derive insights and creating scalable AI solutions using Generative AI and Large Language Models.
Candidates should have over 5 years of experience and a strong background in Python, SQL, and cloud environments. The position allows a hybrid working arrangement, fostering innovation and problem-solving skills in a collaborative setting.
Data Analyst & AI Engineer — AI Pipelines & LLMs (Hybrid) in Birmingham employer: The Fuel Store
Contact Detail:
The Fuel Store Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst & AI Engineer — AI Pipelines & LLMs (Hybrid) in Birmingham
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and data analytics space on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python, SQL, and cloud skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions related to data analysis and AI.
✨Tip Number 3
Showcase your projects! If you've worked on any cool AI solutions or data analysis projects, make sure to highlight them in your conversations. We love seeing real-world applications of your skills!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who can contribute to our innovative environment.
We think you need these skills to ace Data Analyst & AI Engineer — AI Pipelines & LLMs (Hybrid) in Birmingham
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, SQL, and cloud environments in your application. We want to see how your skills align with the role, so don’t hold back!
Be Specific About Your Experience: When detailing your past roles, focus on specific projects where you’ve analysed large datasets or created AI solutions. We love seeing concrete examples of your work!
Tailor Your Application: Don’t just send a generic application. Take the time to tailor your CV and cover letter to reflect the job description. We appreciate candidates who show they’ve done their homework!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at The Fuel Store
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets you might be working with. Brush up on your experience with Python and SQL, and be ready to discuss specific projects where you've derived insights from large datasets. This will show your depth of knowledge and practical application.
✨Showcase Your AI Solutions
Prepare to talk about any scalable AI solutions you've created, especially those involving Generative AI and Large Language Models. Bring examples that highlight your problem-solving skills and innovation, as this is key for the role.
✨Familiarise Yourself with Cloud Environments
Since the job involves cloud environments, make sure you can discuss your experience with them. Whether it’s AWS, Azure, or Google Cloud, be ready to explain how you’ve used these platforms to enhance your data analysis and AI projects.
✨Emphasise Collaboration
This position thrives in a collaborative setting, so be prepared to share experiences where teamwork led to successful outcomes. Highlight your ability to work with others, as well as how you foster innovation within a team.