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Software Engineer, Applied AI

Kaizenlabs is seeking a highly skilled and passionate Software Engineer to join our Data Intelligence team. This role is critical for developing and optimizing cutting-edge machine learning models that drive our core products. The ideal candidate will have deep experience in applied AI methodologies and must be proficient in building scalable data pipelines from initial concept through deployment. Key responsibilities include researching advanced ML techniques, prototyping solutions using large datasets, collaborating with product managers, and ensuring the robustness and performance of all deployed models. You will work in a fast-paced environment where innovation is key. Expertise in cloud platforms (AWS/GCP), specific programming languages like Python, and handling complex data structures is highly desirable. This position offers significant opportunity to impact the future trajectory of our AI capabilities, making it ideal for someone eager to take ownership of major technological initiatives.

kaizenlabs New York, NY (Hybrid), United States

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

Preparing

2100

Question set

150

Duration

Permanent

Focus areas

Applied AIMachine LearningPythonData Science

People Also Ask (FAQs)

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

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

How do I apply for Software Engineer, Applied AI?

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 kaizenlabs 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 Software Engineer, Applied AI 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, Python, Data Science.

Quick start

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

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