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Senior Applied AI Engineer

Bubble is seeking a highly skilled Senior Applied AI Engineer to drive the integration of cutting-edge artificial intelligence into our core platform. This role is critical for expanding Bubble's generative and intelligent capabilities, moving ML models from research concepts into robust, production-grade services. The successful candidate will be responsible for developing, training, and optimizing complex machine learning pipelines, particularly in areas like natural language processing (NLP) and computer vision. Key tasks include model selection, data engineering for AI datasets, rigorous testing, and deploying scalable inference services. Strong proficiency in Python, major ML libraries (like PyTorch or TensorFlow), and expertise in cloud deployment architectures are mandatory for success in this highly technical role.

bubble NYC, New York, United States

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

Preparing

1800

Question set

200

Duration

Permanent

Focus areas

Applied AIMachine LearningNLPPythonDeep Learning Frameworks

People Also Ask (FAQs)

What is the last date to apply for Senior Applied AI Engineer?

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

How do I apply for Senior Applied AI Engineer?

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 bubble 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 Senior Applied AI Engineer 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, Machine Learning, NLP, Python, Deep Learning Frameworks.

Quick start

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

Prepare for this test

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