At a Glance
- Tasks: Deploy AI solutions and configure Langchain for optimal document processing.
- Company: Join NTT DATA, a leader in innovative tech solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on learning and development.
- Why this job: Be at the forefront of AI technology and make a real difference.
- Qualifications: Experience with AWS or Azure and a strong grasp of data safety in AI.
The predicted salary is between 60000 - 80000 £ per year.
NTT DATA, Inc. is seeking a skilled Technical Data Engineer in Greater London. The role involves deploying AI-based solutions, onboarding customer documents, and configuring Langchain for effective processing.
Candidates should have a strong understanding of data safety in AI and experience in either AWS or Azure. Ideal candidates will demonstrate problem-solving abilities, collaboration skills with off-shore teams, and a desire to learn and grow in technical fields.
SC-Cleared Gen AI Engineer — Vector & Graph AI employer: NTT DATA, Inc.
NTT DATA, Inc. is an exceptional employer that fosters a collaborative and innovative work culture in Greater London, where employees are encouraged to grow their technical skills and explore new AI technologies. With a strong emphasis on professional development and a commitment to data safety, team members benefit from engaging projects and the opportunity to work alongside talented professionals in a supportive environment.
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We think this is how you could land SC-Cleared Gen AI Engineer — Vector & Graph AI
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We think you need these skills to ace SC-Cleared Gen AI Engineer — Vector & Graph AI
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
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.
