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Inworld AI

Founding AI Solutions Engineer - USA

Inworld AI is seeking a Founding AI Solutions Engineer to drive the architecture and implementation of next-generation artificial intelligence solutions. This pivotal role involves designing end-to-end ML pipelines, from proof-of-concept to scalable production systems. Key responsibilities include translating complex business needs into robust technical specifications, building custom generative models, and optimizing performance across various cloud platforms. The ideal candidate possesses deep expertise in modern AI frameworks (like PyTorch or TensorFlow), strong software engineering practices, and the ability to collaborate cross-functionally with product and GTM teams. You will be instrumental in defining the technical roadmap and setting industry standards for immersive virtual experiences.

inworld-ai Mountain View, California, USA, United States

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

bereiten sich vor

2100

Fragensatz

150

Dauer

Permanent

Schwerpunkte

Generative AIMLOpsPythonCloud ComputingAI Architecture

People Also Ask (FAQs)

What is the last date to apply for Founding AI Solutions Engineer - USA?

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

How do I apply for Founding AI Solutions Engineer - USA?

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 Inworld 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 Founding AI Solutions Engineer - USA 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: Generative AI, MLOps, Python, Cloud Computing, AI Architecture.

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