Senior Software Engineer - Integrations - AI/ML
We are looking for a talented Senior Software Engineer to strengthen our integrations capabilities, particularly in the rapidly evolving space of Artificial Intelligence and Machine Learning. This role involves taking cutting-edge ML models and integrating them seamlessly into our core data platform features. Key responsibilities include developing robust APIs for model inference, optimizing data pipelines to feed training/inference data, and ensuring scalability across various client use cases. You will be expected to work with modern cloud infrastructure and high-throughput distributed systems. Strong proficiency in Python or Scala is required, alongside proven experience connecting complex AI services to enterprise software architectures. If you thrive at the intersection of data engineering and advanced ML applications, this role offers unparalleled technical depth.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
2800
Question set
150
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Senior Software Engineer - Integrations - AI/ML?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Senior Software Engineer - Integrations - AI/ML?
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 clickhouse 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 Software Engineer - Integrations - AI/ML 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: AI/ML Integration, Backend Engineering, Distributed Systems, Python/Scala, Cloud Services (AWS/GCP).
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.