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AI Platform Developer

The AI Platform Developer will play a crucial role in developing the core infrastructure that powers our advanced AI products. This mission involves building robust, scalable backend services and deploying reliable MLOps pipelines for machine learning models. Key responsibilities include writing high-quality code in Python, integrating various cloud services (AWS/GCP), and ensuring platform reliability at scale. Ideal candidates possess strong experience with modern software development lifecycle methodologies. You will work closely with data scientists to operationalize their models into production-ready features. Required qualifications involve expertise in designing APIs, handling large datasets, and committing to best practices in code testing and deployment automation. This role is central to advancing our technological capabilities.

Tech New York, NY, United States

(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)

Preparing

1850

Question set

150

Duration

Permanent

Focus areas

AI DevelopmentBackend EngineeringPythonCloud Platforms (AWS/GCP)

People Also Ask (FAQs)

What is the last date to apply for AI Platform Developer?

The closing date is listed in the official advertisement — apply as early as possible.

How do I apply for AI Platform Developer?

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 Tech 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 AI Platform Developer 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: AI Development, Backend Engineering, Python, Cloud Platforms (AWS/GCP).

Quick start

Review the job summary, then jump into prep with the same flow used for exam starts.

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