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- Tasks: Design and deploy AI solutions using Python and cloud platforms.
- Company: Global technology consulting firm with a focus on innovation.
- Benefits: Competitive salary, bonuses, and career growth opportunities.
- Why this job: Lead the development of cutting-edge AI/ML solutions and tackle complex challenges.
- Qualifications: Significant experience in AI/ML and strong Python skills required.
- Other info: Collaborative environment with a focus on impactful projects.
The predicted salary is between 48000 - 84000 £ per year.
A global technology consulting firm is looking for a Senior Lead Analyst Data Science to design and deploy AI solutions using core Python and cloud platforms. The successful candidate will have significant experience in AI/ML, especially Generative AI, and will collaborate with clients to overcome complex business challenges. This role involves leading the development of AI/ML solutions and requires strong skills in Python and cloud technologies, with competitive compensation including bonuses and opportunities for career growth.
Senior AI/ML & Gen AI Architect – Data Science in London employer: Infosys Limited
Contact Detail:
Infosys Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML & Gen AI Architect – Data Science in London
✨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 help you land that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those involving Generative AI. This is your chance to demonstrate your expertise in Python and cloud platforms, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common AI/ML questions and case studies. We recommend practising with friends or using mock interview platforms to get comfortable discussing your experience and solutions.
✨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 candidates who are proactive about their job search!
We think you need these skills to ace Senior AI/ML & Gen AI Architect – Data Science in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML and Generative AI. We want to see how your skills in Python and cloud platforms align with the role, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI solutions and how you can help clients tackle their business challenges. We love seeing enthusiasm and a personal touch.
Showcase Your Projects: If you've worked on any cool AI/ML projects, make sure to mention them! We’re interested in real-world applications of your skills, so include links or descriptions that demonstrate your expertise.
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. Don’t miss out!
How to prepare for a job interview at Infosys Limited
✨Know Your AI/ML Stuff
Make sure you brush up on your AI and ML knowledge, especially around Generative AI. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them using Python and cloud platforms.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex business challenges with AI solutions. Think about the impact your work had on clients and be ready to explain your thought process during those projects.
✨Familiarise Yourself with the Company
Research the consulting firm thoroughly. Understand their core values, recent projects, and how they approach AI/ML. This will help you tailor your answers and show that you're genuinely interested in working with them.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of the interview. Inquire about their current AI initiatives or how they envision the future of AI/ML in their projects. This shows your enthusiasm and strategic thinking.
