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- Tasks: Design and develop AI/ML solutions using Azure services.
- Company: Global technology solutions company with a focus on innovation.
- Benefits: Growth opportunities, competitive salary, and transformative work environment.
- Why this job: Join a team that shapes the future of AI technology.
- Qualifications: Strong background in AI deployment and proficiency in Python.
- Other info: Collaborative culture with a focus on performance optimisation and data security.
The predicted salary is between 48000 - 72000 £ per year.
A global technology solutions company is hiring a Principal Consultant – Azure AI Engineer/Lead to design and develop AI/ML solutions using Azure services. Candidates should have a strong background in AI deployment, proficiency in Python, and experience with Azure technologies. The role emphasizes collaboration, performance optimization, and adherence to best data security practices. This position offers growth opportunities and the chance to work in a transformative environment.
Senior Azure AI Engineer & Strategy Lead in London employer: Genpact
Contact Detail:
Genpact Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Azure AI Engineer & Strategy Lead in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working with Azure AI. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects using Azure services. This gives us a tangible way to see what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and Azure knowledge. We love candidates who can demonstrate their technical prowess and discuss how they’ve optimised performance in past projects.
✨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’re always on the lookout for passionate candidates ready to make an impact.
We think you need these skills to ace Senior Azure AI Engineer & Strategy Lead in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Azure technologies and AI deployment in your application. We want to see how your background aligns with the role, so don’t hold back on showcasing your Python proficiency!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your previous projects relate to designing and developing AI/ML solutions using Azure services. This helps us see you as a perfect fit for our team!
Be Collaborative: Since the role emphasises collaboration, share examples of how you've worked effectively in teams. We love seeing candidates who can communicate well and contribute to a positive team environment.
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 to grow with us in a transformative environment!
How to prepare for a job interview at Genpact
✨Know Your Azure Inside Out
Make sure you brush up on your Azure services knowledge. Familiarise yourself with the latest features and updates, especially those related to AI and ML. Being able to discuss specific Azure tools and how you've used them in past projects will show your expertise.
✨Showcase Your Python Skills
Prepare to demonstrate your proficiency in Python during the interview. Have examples ready where you've implemented AI/ML solutions using Python. You might even be asked to solve a coding challenge, so practice common algorithms and data structures relevant to AI.
✨Emphasise Collaboration and Strategy
This role is all about teamwork and strategic thinking. Be ready to share experiences where you've collaborated with cross-functional teams or led projects. Highlight how you approach problem-solving and decision-making in a collaborative environment.
✨Prioritise Data Security Practices
Since adherence to best data security practices is crucial, prepare to discuss how you've ensured data security in your previous roles. Bring up any frameworks or protocols you’ve followed and how you’ve integrated security into your AI/ML solutions.
