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megazone

Sr. AI FDE

Megazone is looking for a highly talented Sr. AI Full Stack Developer (FDE) to drive the development of next-generation applications powered by Artificial Intelligence. This role requires bridging the gap between theoretical ML concepts and production-ready code, involving both front-end user experience and robust back-end data pipelines. Key responsibilities include training and fine-tuning various ML models, integrating these models into core services, building scalable APIs, and ensuring a seamless end-to-end product. The ideal candidate must have strong proficiency in modern web frameworks, coupled with deep expertise in AI/ML toolsets (e.g., TensorFlow, PyTorch). This is an exciting full-time opportunity for an innovator to join our on-site team in Rochester.

megazone Rochester, NY, United States

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

Preparing

2100

Question set

250

Duration

Permanent

Focus areas

Artificial IntelligenceFull Stack DevelopmentMachine LearningPythonAI Models

People Also Ask (FAQs)

What is the last date to apply for Sr. AI FDE?

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

How do I apply for Sr. AI FDE?

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 megazone 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 Sr. AI FDE 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: Artificial Intelligence, Full Stack Development, Machine Learning, Python, AI Models.

Quick start

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

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