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- Tasks: Design and deploy advanced AI solutions using Python and Generative AI technologies.
- Company: Leading tech firm focused on innovative AI solutions.
- Benefits: Competitive salary, bonus opportunities, and flexible work locations.
- Why this job: Join a team shaping the future of AI across various industries.
- Qualifications: Experience in AI/ML, Python, and cloud platforms like AWS or Azure.
- Other info: Exciting projects with significant impact and career growth potential.
The predicted salary is between 36000 - 60000 £ per year.
Infosys is seeking a Senior AI/ML & Generative AI Engineer with deep expertise in designing, developing, and deploying advanced AI solutions. This includes core Python development using OOPs concepts, Large Language Models (LLMs), and Agentic AI architectures. The ideal candidate will collaborate with clients to understand complex business challenges, architect scalable AI solutions, and deploy them using modern cloud platforms such as AWS, Azure ML and GCP AI Services.
This role offers the opportunity to work on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic orchestration, and vector databases, while shaping impactful consulting solutions across industries like Banking, Finance, and Capital Markets.
Data Scientist_ GEN AI in London employer: Infosys
Contact Detail:
Infosys Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist_ GEN AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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, especially those involving Python, AI, and data science. 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 soft skills. Practice common interview questions related to AI and data science, and be ready to discuss your past experiences and how they relate to the role.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Data Scientist_ GEN AI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Scientist role. Highlight your expertise in Python, AI, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about Generative AI and how your background makes you a perfect fit for us. Be genuine and let your personality come through!
Showcase Your Projects: If you've worked on any AI or data science projects, make sure to mention them! Whether it's fine-tuning LLMs or deploying solutions on cloud platforms, we love seeing real-world applications of your skills.
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 don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Infosys
✨Know Your Tech Inside Out
Make sure you’re well-versed in core Python, OOP concepts, and the latest in Generative AI. Brush up on your knowledge of Large Language Models and cloud platforms like AWS and Azure ML. Being able to discuss these topics confidently will show that you're not just familiar with the tech, but that you can apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex business challenges using AI solutions. Think about how you architected scalable systems or deployed models in real-world scenarios. This will demonstrate your ability to think critically and apply your skills in a practical context.
✨Understand the Business Context
Research the industries you'll be working with, such as Banking and Finance. Understand their unique challenges and how AI can provide solutions. This knowledge will help you tailor your responses and show that you can bridge the gap between technology and business needs.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI and their current projects. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals. Engaging in a two-way conversation can leave a lasting impression.
