GenAI/ML Engineers
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. We are currently seeking a GenAI/ML Engineers to join our team in Hyderabad, Telangana (IN-TG), India (IN). Requirements: Bachelor’s or master’s degree in Computer Science, Data Science, or a related technical discipline. 10+ years of overall software development experience, including 3+ years of hands-on experience in machine learning or AI application development, with a proven track record of delivering production-grade solutions. Strong programming proficiency in Python, with demonstrated experience in API development using FastAPI or Flask. Backend development experience in C# or Java is considered an added advantage. Solid experience developing AI solutions within the AWS ecosystem, including hands-on use of services such as Amazon Bedrock, SageMaker, Lambda, API Gateway, and S3. Practical knowledge and implementation experience with Large Language Models and Generative AI frameworks such as LangChain, LlamaIndex, or custom RAG architectures.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
يتحضرون الآن
2450
المدة
Permanent
مجالات التركيز
People Also Ask (FAQs)
What is the last date to apply for GenAI/ML Engineers?
The official closing date is 2026-12-14. Apply early to avoid the last-day portal rush.
How do I apply for GenAI/ML Engineers?
Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.
Is there negative marking in the NTT Corporation test?
The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.
What is the passing marks for this test?
The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.
How can I prepare for the GenAI/ML Engineers test?
Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: Python, Machine Learning, Generative AI, AWS, LangChain, FastAPI.
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