At a Glance
- Tasks: Design and deploy cutting-edge generative AI models and solutions.
- Company: Leading tech firm in London with a hybrid work culture.
- Benefits: Attractive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic environment with strong career advancement potential.
- Why this job: Join a team at the forefront of AI innovation and make a real difference.
- Qualifications: 7+ years in AI/ML architecture and hands-on experience with AI frameworks.
The predicted salary is between 80000 - 100000 £ per year.
Role: Sr. Gen AI Architect
Employment: Permanent
Location: London, UK - hybrid
Skills:
- Minimum of 7 years of experience in AI/ML architecture or a related role.
- Proven experience in designing and deploying generative AI models and solutions.
- Hands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, etc.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments.
Technical Skills:
- Proficiency in programming languages such as Python, Java, or C++.
- Strong understanding of machine learning algorithms, deep learning.
Sr. Gen AI Architect employer: TestYantra Software Solutions
As a leading innovator in the AI space, our company offers a dynamic work environment in London that fosters creativity and collaboration. We prioritise employee growth through continuous learning opportunities and mentorship, ensuring that our team members are at the forefront of technological advancements. With a strong commitment to work-life balance and a hybrid working model, we provide an excellent platform for professionals seeking meaningful and rewarding careers in generative AI.
Contact Details:
TestYantra Software Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Gen AI Architect
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We think you need these skills to ace Sr. Gen AI Architect
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
