Applied AI Engineer (Matching & Search)
Are you passionate about the intersection of Artificial Intelligence and complex information retrieval? Clera invites an Applied AI Engineer to join our team focused on building cutting-edge matching and search capabilities. This role involves leveraging ML models to enhance user experience through sophisticated ranking, similarity scoring, and semantic search functionalities. You will be responsible for developing robust data pipelines, prototyping new AI features, and optimizing large-scale search indexes. Ideal candidates possess deep expertise in information retrieval (IR) systems, natural language processing (NLP), and scalable backend engineering practices. Experience with vector databases and graph structures is a significant plus as we aim to redefine how users find relevant information across our platform.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
2100
Question set
300
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Applied AI Engineer (Matching & Search)?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Applied AI Engineer (Matching & Search)?
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 Clera 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 Applied AI Engineer (Matching & Search) 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: Applied AI, Search Algorithms, NLP, Machine Learning Engineering, Data Structures.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.