2 months ago
Kazakhstan (city not specified)Mid Level
Responsibilities
- Develop, deploy, maintain, and monitor machine learning models and systems for driver verification and other product applications.
- Conduct data analysis, preparation, processing, annotation, and experiment validation.
- Contribute to ML system design and create reusable, well-documented models and processes.
- Support deployed solutions, resolve issues, identify risks, and ensure features operate according to requirements.
- Collaborate with peers and stakeholders on effective designs, delivery decisions, 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, advanced mathematics, and computer vision.
- Familiarity with MLOps principles and tools for managing the machine learning model lifecycle.
- Experience with backend systems and infrastructure, plus willingness to learn technologies such as Golang.
- Ability to design solutions using common design patterns and design tools and to conduct credible experiments and information validation.
- Strong problem-solving, communication, collaboration, consensus-building, and English-language skills.
- Ability to explain technical decisions to product and business managers and balance quality with delivery speed.
Benefits
- Mentoring, career consulting, and learning programs.
- International experience through the Global Talent Exchange Program.
- Company-wide challenges, awards, sports activities, social-impact, and volunteering 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.