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- Tasks: Develop and deploy innovative AI solutions while integrating with existing systems.
- Company: Leading tech consulting firm in Greater London with a focus on AI.
- Benefits: Competitive compensation, health care, and wellness initiatives.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Proficiency in Python and experience with AI/ML libraries required.
- Other info: Dynamic work environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading tech consulting firm in the Greater London area is seeking an Artificial Intelligence Engineer. The role involves developing and deploying innovative AI solutions while integrating them with existing systems.
Ideal candidates have proficiency in Python and experience with AI/ML libraries such as Hugging Face and state-of-the-art LLMs. Strong software engineering skills and cloud deployment experience are also essential.
The position offers competitive compensation with a range of benefits, including health care and wellness initiatives.
Enterprise AI Engineer - Full-Stack & GenAI employer: Tata Consultancy Services
Contact Detail:
Tata Consultancy Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise AI Engineer - Full-Stack & GenAI
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech consulting space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using Python and libraries like Hugging Face. This gives you an edge over other candidates.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding cloud deployment. Practice common AI-related problems to impress your interviewers.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to showcase your talents and connect with us directly. Let's get you that dream job!
We think you need these skills to ace Enterprise AI Engineer - Full-Stack & GenAI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and AI/ML libraries like Hugging Face. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI and how your background makes you a perfect fit for this role. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any innovative AI solutions or cloud deployments, make sure to mention them. We’re keen to see real-world applications of your skills, so include links or descriptions of your work!
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 from us!
How to prepare for a job interview at Tata Consultancy Services
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and ML libraries, especially Hugging Face and LLMs. Be ready to discuss how you've used these tools in past projects and how they can be integrated into existing systems.
✨Show Off Your Python Skills
Since proficiency in Python is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges that involve AI algorithms or data manipulation.
✨Cloud Deployment Know-How
Familiarise yourself with cloud deployment strategies, as this role requires strong experience in that area. Be prepared to talk about your previous experiences deploying AI solutions in the cloud and any challenges you faced.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's AI initiatives and how they envision the role evolving. This shows your genuine interest and helps you gauge if it's the right fit for you.
