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- Tasks: Design and deploy advanced AI solutions using Generative AI and Large Language Models.
- Company: Leading technology consulting firm with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact in industries like Banking and Finance with cutting-edge technology.
- Qualifications: Strong Python development skills and experience in AI/ML technologies.
- Other info: Collaborative environment with exciting projects and career advancement opportunities.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology consulting firm is seeking a Senior AI/ML & Generative AI Engineer to design and deploy advanced AI solutions. This role focuses on core Python development and includes working with cutting-edge technologies in Generative AI and Large Language Models.
The ideal candidate will collaborate with clients to address complex challenges and utilize cloud platforms such as AWS, Azure ML, and GCP.
Join us to impact industries like Banking, Finance, and Capital Markets.
Senior Generative AI Engineer: LLMs, Agents & Cloud employer: Infosys
Contact Detail:
Infosys Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Generative AI Engineer: LLMs, Agents & Cloud
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Generative AI and LLMs. This could be anything from GitHub repos to case studies that highlight your problem-solving abilities. Let your work speak for itself!
✨Tip Number 3
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with cloud platforms like AWS and Azure ML. Practice common interview questions and think about how you can demonstrate your expertise in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the role.
We think you need these skills to ace Senior Generative AI Engineer: LLMs, Agents & Cloud
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and Generative AI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the challenges we tackle.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've solved complex problems in the past. We’re looking for someone who can think critically and creatively, especially when it comes to deploying AI solutions in real-world scenarios.
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Infosys
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the latest advancements in Generative AI and Large Language Models. Brush up on your knowledge of cloud platforms like AWS, Azure ML, and GCP, as you might be asked to discuss how you’ve used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Think about examples where you collaborated with clients to develop AI solutions that made a real impact, especially in sectors like Banking or Finance.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to AI and how they envision the role contributing to their projects. This shows your genuine interest and helps you gauge if it’s the right fit for you.
✨Practice Makes Perfect
Conduct mock interviews with friends or use online platforms to simulate the interview experience. Focus on articulating your thoughts clearly and confidently, especially when discussing technical concepts related to AI and machine learning.
