How to Apply for ML Engineer/Scientist, AI Platform in India 2026: Eligibility, Last Date & Preparation Guide
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. This guide explains exactly how to apply for this nightfall-ai post in India, the important dates, the test pattern, and a preparation strategy to score well.
About this job
ML Engineer/Scientist, AI Platform is advertised by nightfall-ai (Bengaluru, India (Hybrid)). This vacancy is based in India. Before applying, read the official advertisement carefully and confirm the age limit, required degree, domicile, and experience, so that you apply only when you fully meet the eligibility.
How to apply step by step
First create an account on the official website of the relevant commission or department, then fill the application form exactly as written on your documents. Next, pay the prescribed fee through the bank challan or the online option, upload clear scans, and submit before the closing date. Keep the confirmation slip safe. The official apply link is available on the job details card below.
Important dates
Posted on: 12 August 2026. Always confirm dates from the official advertisement, because they can change. Do not wait for the last day, as submitting early is safer.
Test pattern and focus areas
The key topics for this recruitment test include Machine Learning, Artificial Intelligence, NLP, Python, Deep Learning Frameworks (TensorFlow/PyTorch). Most screening tests are MCQ based with a time limit, so understand the pattern and marks distribution first. Solving nightfall-ai past papers is the most effective preparation.
Preparation and scoring tips
Practise timed MCQs daily, keep a short note of wrong answers, and revise them. Solve easy questions first, avoid blind guessing where negative marking applies, and take a full mock test before the exam. Use the practice links below to start now.
People Also Ask (FAQs)
What is the last date to apply for ML Engineer/Scientist, AI Platform?
The last date is given in the official advertisement; please confirm from the latest notification.
How should I prepare for the test?
Start with the syllabus and past papers, practise timed MCQs daily, and strengthen weak topics with revision. Free practice is available on PrepPro.
Is there negative marking in this test?
It varies by exam; always check the marking rules on the roll number slip and official instructions.