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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 a 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 employer: Genpact
Contact Detail:
Genpact Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Azure AI Engineer & Strategy Lead
✨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 potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common Azure AI scenarios. We recommend practising problem-solving questions and discussing how you'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 noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Azure AI Engineer & Strategy Lead
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. You might be asked to solve a coding problem or explain how you've implemented AI solutions using Python. Practising common algorithms and data structures can help you feel more confident.
✨Emphasise Collaboration and Strategy
Since the role involves collaboration, be ready to discuss how you've worked with cross-functional teams in the past. Share examples of how you’ve led projects or contributed to strategy development, highlighting your ability to optimise performance and adhere to best practices.
✨Prioritise Data Security
Given the emphasis on data security, prepare to talk about your experience with secure AI deployments. Be ready to discuss best practices you've followed and any challenges you've faced in ensuring data integrity and security in your projects.
