Senior AI Engineer
dualentry seeks a highly skilled and innovative Senior AI Engineer to join our technical team. This is a remote position primarily supporting operations across Europe (EU) and Latin America (LATAM), requiring deep expertise in developing cutting-edge artificial intelligence solutions. Key responsibilities include designing, implementing, and optimizing ML models for production environments, conducting rigorous data analysis, and collaborating with product teams to transition research prototypes into scalable features. You will be expected to stay ahead of industry advancements in AI ethics and performance. The ideal candidate possesses a Master’s or PhD in Computer Science, AI, or a related quantitative field, coupled with 4+ years of experience building ML systems. Proficiency in Python, deep learning frameworks (e.g., TensorFlow/PyTorch), and solid knowledge of cloud platforms (AWS/GCP) are mandatory for this role.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
2100
Question set
250
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Senior AI Engineer?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Senior AI Engineer?
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 dualentry 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 AI Engineer 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, Machine Learning (ML), Deep Learning, Python Programming.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.