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For Companies At a Glance
- Tasks: Design and deploy advanced AI solutions using Python and Generative AI technologies.
- Company: Join a leading tech firm at the forefront of AI innovation.
- Benefits: Competitive salary with bonuses, plus opportunities for professional growth.
- Why this job: Work on groundbreaking AI projects that solve real-world business challenges.
- Qualifications: Experience in AI/ML, Python, and cloud platforms like AWS or Azure.
- Other info: Dynamic work environment with a focus on collaboration and impact.
The predicted salary is between 36000 - 60000 £ per year.
Overview
- Technology: Core Python, Data Science, GEN AI
- Location: Chester or Bromley
- Business Unit: Analytics
- Compensation: Competitive (including bonus)
Job Description
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 employer: Infosys
Contact Detail:
Infosys Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist_ GEN AI
✨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, especially those involving Python, AI, and data science. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data science and AI interview questions, and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Scientist_ GEN AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with core Python, data science, 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 your background makes you a perfect fit for our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex business challenges using AI solutions. We’re keen to see how you think and approach problems, especially in the context of banking and finance.
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’s super easy to do!
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 but truly passionate about the tech.
✨Showcase Real-World Applications
Prepare examples of how you've tackled complex business challenges using AI solutions in previous roles. Whether it’s a project involving LLM fine-tuning or agentic orchestration, having concrete examples will help demonstrate your problem-solving skills and practical experience.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to AI and how they tackle challenges in industries like Banking and Finance. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
✨Practice Makes Perfect
Conduct mock interviews with friends or use online platforms to simulate the interview environment. Focus on articulating your thoughts clearly and concisely, especially when discussing technical concepts. The more comfortable you are, the better you'll perform during the actual interview.
