Senior Software Engineer, FullStack/MLOps
Horizon3ai is seeking a talented Senior Software Engineer to drive the development of cutting-edge full-stack and Machine Learning Operations (MLOps) platforms. You will be instrumental in designing, building, and deploying scalable cloud solutions that power our next generation of AI products. Key responsibilities include developing robust APIs using modern frameworks, implementing CI/CD pipelines for ML models, and ensuring system reliability across distributed systems. Ideal candidates possess deep experience with the full software development lifecycle, proficiency in Python, and expertise in containerization technologies like Kubernetes. This is a hybrid role based in Chicago, offering the chance to work on complex, high-impact projects while maintaining flexibility. You will collaborate with cross-functional teams to translate advanced research into practical, enterprise-grade tools.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
1800
Question set
250
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Senior Software Engineer, FullStack/MLOps?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Senior Software Engineer, FullStack/MLOps?
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 Horizon3ai 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, FullStack/MLOps 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: FullStack Development, Machine Learning Operations (MLOps), Cloud Engineering, Python, Containerization (Docker/Kubernetes).
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.