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- Tasks: Design and implement innovative AI solutions using Python and cloud platforms.
- Company: Global digital services leader with a focus on inclusivity.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a team at the forefront of AI technology and make a real impact across industries.
- Qualifications: 7+ years in IT with expertise in Generative AI and MLOps.
- Other info: Dynamic work environment with diverse projects in Banking and Finance.
The predicted salary is between 43200 - 72000 £ per year.
A global digital services leader is seeking a Senior AI/ML & Generative AI Engineer in Greater London. The role requires deep expertise in Python, AI solutions design, and cloud platforms like AWS and Azure. Candidates should have at least 7 years of IT experience, with strong skills in Generative AI and MLOps. The position offers the chance to work with cutting-edge technologies across various industries, including Banking and Finance. An inclusive work environment is emphasized.
Senior AI/ML Architect: Generative AI & LLM Expert employer: Infosys Limited
Contact Detail:
Infosys Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Architect: Generative AI & LLM Expert
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space on LinkedIn or at industry events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Generative AI and MLOps. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common AI/ML interview questions and be ready to discuss your experience with Python and cloud platforms like AWS and Azure.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Senior AI/ML Architect: Generative AI & LLM Expert
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python and AI solutions design. We want to see how your experience aligns with the role, so don’t hold back on showcasing your skills in Generative AI and MLOps!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who take the time to connect their experience with what we’re looking for in a Senior AI/ML Architect.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the heart of your experience and achievements.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in the world of AI and ML!
How to prepare for a job interview at Infosys Limited
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss AI solutions design in detail. Familiarise yourself with the latest trends in Generative AI and MLOps, as well as how they apply to cloud platforms like AWS and Azure.
✨Showcase Your Experience
With at least 7 years of IT experience, you’ll want to highlight specific projects where you've implemented AI solutions. Prepare examples that demonstrate your expertise in Generative AI and how you've tackled challenges in previous roles.
✨Understand the Industry
Since this role involves working across various industries, especially Banking and Finance, do some research on how AI is transforming these sectors. Be ready to discuss how your skills can contribute to their specific needs and challenges.
✨Emphasise Inclusivity
This company values an inclusive work environment, so be prepared to discuss how you foster collaboration and diversity in your teams. Share experiences where you’ve worked effectively with diverse groups or contributed to an inclusive culture.
