Software Engineer II, AI-Powered Career Management System
Join the vanguard of HR tech as a Software Engineer II dedicated to building our proprietary AI-powered career management system. You will be instrumental in developing highly scalable, resilient microservices that power core features, including skill mapping, career path generation, and predictive analytics. Key responsibilities involve writing clean, efficient code (primarily in Python/Go), integrating machine learning models into production workflows, and collaborating cross-functionally with data science and product teams. Ideal candidates possess a strong background in backend system architecture and a passion for using AI to solve complex human resource problems. Experience with cloud providers (AWS/GCP) and CI/CD pipelines is highly preferred.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
bereiten sich vor
2500
Fragensatz
250
Dauer
Permanent
Schwerpunkte
People Also Ask (FAQs)
What is the last date to apply for Software Engineer II, AI-Powered Career Management System?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Software Engineer II, AI-Powered Career Management System?
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 careerswift.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 Software Engineer II, AI-Powered Career Management System 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: Software Engineering, AI/ML Development, Python, Cloud Computing.
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