28 days ago
Pakistan (city not specified)Mid Level
Responsibilities
- Develop, deploy, maintain, monitor, and support machine learning models and systems.
- Conduct data analysis, preparation, processing, annotation, and related ML system design.
- Contribute to computer-vision automation of the driver verification process.
- Follow security guidelines, identify risks, and ensure deployed features operate as intended.
- Review designs, solve engineering issues, and provide feedback on delivery processes.
- Create and maintain documentation for models and processes.
- Promote reusable solutions and adoption of common technologies.
Requirements
- At least 3 years of professional experience, preferably including software engineering experience.
- Strong proficiency in Python and common data-processing frameworks for streaming, batch, and asynchronous data.
- Foundational knowledge of classical machine learning, deep learning, computer vision, and advanced mathematics.
- Familiarity with MLOps principles and tools for managing the machine learning model lifecycle.
- Experience with backend systems and infrastructure, with willingness to learn technologies such as Golang.
- Ability to design solutions using common design patterns and design tools.
- Experience with experiment design and validating information from different sources.
- Strong problem-solving, communication, collaboration, consensus-building, and English-language skills.
- Ability to explain technical decisions to product, business, and other non-technical stakeholders.
- Understanding of business value, continuous self-development, and balancing quality with delivery speed.
Benefits
- Mentoring, career consulting, and learning programs.
- International collaboration and potential experience through the Global Talent Exchange Program.
- Company-wide challenges, awards, sports activities, volunteering, and employee-led social-impact projects.
- Co-financed language courses and internal speaking clubs.
- Benefits may vary depending on location.
Categories
About inDrive
inDrive builds a global mobility and urban services marketplace best known for ride-hailing, with additional offerings in intercity rides, delivery, and financial services. The privately held company is headquartered in Mountain View, California, and operates across 48 countries, monetizing through fees on transactions in its app. Its platform emphasizes driver–rider price negotiation and has amassed hundreds of millions of downloads.