AristanderAI
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About
AristanderAI is a deep learning solution for airline revenue management. It helps airlines maximize ancillary and airfare revenues using a next-gen predictive pricing solution. The platform offers two modules: Ancillary Pricing and Airfare Pricing, both designed to optimize revenue. It's built from scratch using machine learning and leverages unstructured data, user behavior, and context for accurate predictions. The AI solution integrates seamlessly into daily workflows, offers rapid implementation (12 weeks), and provides a rapid return on investment (revenue uplift after 8-10 weeks). AristanderAI is 100% ML First, GDPR compliant and made in Germany.
Platform
Features
• dynamic pricing
• revenue optimization
• predictive pricing
• airfare pricing
• ancillary pricing
• deep learning for airline revenue management
• ndc compatible
• 100% eu gdpr-compliant
Job Opportunities
FULL-STACK ENGINEER (M/W/D)
AristanderAI uses deep learning to optimize airline revenue through predictive pricing of airfare and ancillaries.
Benefits:
Work in a professional startup environment with creative, and growth-oriented minds
Work with a team of two experienced developers helping each other improve their skills
Competitive salary
Focus on stable and ambitious customers with a long horizon
Flexible work hours: from home or at our well-equipped office at the heart of Prenzlauer Berg
Experience Requirements:
Prior experience working with Django, Python, Vue (or React), Postgres, or similar technologies
Experience designing, implementing, deploying, and operating robust and scalable data-driven systems
Enjoy the challenge of owning the end-to-end software development process – from ideation, design, and implementation to deployment and maintenance
Are invigorated by the thought of diagnosing system performance issues, and bringing innovative software solutions to life
Skilled at producing comprehensive documentation and/or written descriptions of your ideas
Other Requirements:
Bonus points if you have experience with Pytorch, pandas
Responsibilities:
Collaborate with a team of software engineers to understand the needs of our clients and build the core components of our short-term rental price optimization service
Work across multiple layers of our tech stack, using Django, Python, Vue, Docker, Postgres, and Grafana to develop a robust, scalable service that supports dynamic rental price optimization
Develop tools for monitoring and analyzing system performance, utilizing Grafana for clear and insightful visualizations
Debugging, logging, tracing, and metrics are crucial components of our system, and you’ll have the chance to delve into all of them
Write code primarily in Python and Django, and implement front-end components in HTML, CSS, and JS (Vue). Write code with confidence, collaborating with the team to create and maintain continuous builds, tests, debugging tools, and a constructive code review process
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