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- Tasks: Develop scalable AI solutions using Python and build cloud-based frameworks on Azure.
- Company: Leading UK tech firm focused on innovation and employee wellbeing.
- Benefits: Great development opportunities, collaborative culture, and emphasis on work-life balance.
- Why this job: Join a fast-paced team and make an impact in the AI landscape.
- Qualifications: Strong Python skills, AI engineering experience, and familiarity with Azure services.
- Other info: Dynamic environment with plenty of room for career growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology firm based in the UK is seeking passionate AI engineers to develop scalable solutions using Python and build cloud-based AI frameworks. Candidates should possess strong experience in Python, AI engineering, and familiarity with Azure services. The role emphasizes collaboration within a fast-paced, agile environment, integrating machine learning models and optimizing workflows. The company values employee wellbeing and offers numerous development opportunities, making it an ideal workplace for innovative minds.
Python AI Engineer — LLM/Agentic Solutions on Azure employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python AI Engineer — LLM/Agentic Solutions on Azure
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at tech meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects and AI solutions. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with Azure services. We recommend practicing common interview questions and even doing mock interviews with friends.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing passionate candidates who are eager to join our innovative team.
We think you need these skills to ace Python AI Engineer — LLM/Agentic Solutions on Azure
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've used it in real projects, especially in AI engineering. Don't hold back on showcasing any cool solutions you've developed!
Familiarity with Azure is Key: Since we're all about cloud-based AI frameworks, mention any experience you have with Azure services. If you've worked on scalable solutions using Azure, let us know! It’ll definitely give you an edge.
Collaboration is Crucial: We thrive in a fast-paced, agile environment, so emphasise your teamwork skills. Share examples of how you've collaborated with others to integrate machine learning models or optimise workflows. We love seeing that collaborative spirit!
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 don’t miss out on any important updates. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Capgemini
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in detail, including any projects you've worked on that involved AI engineering. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Familiarise Yourself with Azure Services
Since the role involves building cloud-based AI frameworks on Azure, it’s crucial to have a solid understanding of Azure services. Review the key features and functionalities of Azure that relate to AI and machine learning, and be prepared to discuss how you've used them in past projects.
✨Showcase Your Collaboration Skills
This position emphasises teamwork in a fast-paced environment, so be ready to share examples of how you've successfully collaborated with others. Think about specific instances where you contributed to a team project, highlighting your communication skills and ability to adapt.
✨Emphasise Your Passion for AI
The company is looking for passionate individuals, so don’t hold back on expressing your enthusiasm for AI and technology. Share what excites you about the field, any personal projects you've undertaken, and how you stay updated with the latest trends and advancements in AI.
