Senior Software Engineer, Applied AI
Flexport is seeking a highly motivated Senior Software Engineer specializing in Applied AI to join our innovative team in Amsterdam. This role is crucial for driving the next generation of supply chain technology by integrating advanced machine learning models into real-world logistical problems. You will be responsible for designing, developing, and deploying scalable AI solutions that optimize global freight movements. Key responsibilities include building robust data pipelines, optimizing predictive algorithms (e.g., demand forecasting, route optimization), and working closely with cross-functional teams to translate complex business needs into actionable technical features. The ideal candidate possesses deep expertise in both software architecture best practices and practical applications of AI/ML frameworks, ensuring high reliability and performance across all deployed systems.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
1800
Question set
200
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Senior Software Engineer, Applied AI?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Senior Software Engineer, Applied AI?
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 flexport 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, Applied AI 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, Software Engineering, Python, Machine Learning, Cloud Computing.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.