ML Engineer/Scientist, AI Platform
Nightfall AI is seeking an expert ML Engineer/Scientist to elevate our next-generation AI Platform. This role requires deep theoretical knowledge and practical experience in building robust, scalable machine learning solutions from scratch. You will be responsible for the full lifecycle development of models—from data collection and feature engineering to deployment optimization (MLOps). Key areas include developing advanced NLP capabilities, improving model efficiency, and ensuring platform stability. The ideal candidate must be proficient in modern deep learning frameworks, expert in Python, and possess a keen eye for transforming raw data into high-impact, production-ready AI features. This is an exciting opportunity to work on the frontier of artificial intelligence within a supportive hybrid environment.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
2200
Question set
300
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for ML Engineer/Scientist, AI Platform?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for ML Engineer/Scientist, AI Platform?
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 nightfall-ai 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 ML Engineer/Scientist, AI Platform 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: Machine Learning, Artificial Intelligence, NLP, Python, Deep Learning Frameworks (TensorFlow/PyTorch).
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.