Applied AI Engineer - AI & Automation
Clera is seeking a motivated Applied AI Engineer to join our rapidly expanding operations in Berlin. This role focuses on applying advanced AI/ML techniques to automate complex business processes and enhance core product functionalities. You will take ownership of the full lifecycle—from identifying automation opportunities within existing systems to deploying scalable, reliable ML models. Key responsibilities include data preprocessing for automation workflows, building predictive models for process optimization, and ensuring seamless integration with our existing backend infrastructure. Proficiency in Python is essential, along with experience working in a fast-paced European tech environment. This is a fantastic opportunity for an engineer passionate about using intelligent systems to drive tangible business efficiency.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
1950
Question set
280
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Applied AI Engineer - AI & Automation?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Applied AI Engineer - AI & Automation?
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 Clera 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 Applied AI Engineer - AI & Automation 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, Automation Engineering, Machine Learning, Python Development, Backend Systems.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.