Android Developer - Risk Control
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Android Developer - Risk Control
Location
India
Experience
Mid
Posted
Jul 30, 2026
Apply by
August 29, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Home
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Android Developer - Risk Control based in India.
Join a global technology environment focused on building secure, scalable, and innovative digital solutions.
This role involves developing advanced Android applications that support risk control, identity verification, and user protection experiences.
You will work on cutting-edge mobile technologies, including on-device AI models, computer vision, and real-time video processing.
Collaborating with cross-functional engineering teams, you will help create reliable frameworks and high-performance mobile solutions.
The position offers the opportunity to contribute to products used by millions of users worldwide while solving complex technical challenges.
This fully remote opportunity is ideal for an Android engineer passionate about mobile innovation, AI integration, and impactful user experiences.
### Accountabilities
- Build, develop, and optimize high-performance Android applications focused on risk control and identity verification solutions.
- Integrate and deploy lightweight AI models directly on Android devices, including face recognition, liveness detection, and user action recognition technologies.
- Design and maintain Android client-side libraries and frameworks to improve development efficiency, scalability, and code quality.
- Collaborate with engineering teams to develop hybrid frameworks and optimize on-device inference pipelines.
- Implement user verification workflows, including camera capture, on-device preprocessing, and backend API communication.
- Develop and optimize real-time video processing capabilities, including camera stream management and frame analysis.
- Contribute to Android architecture decisions and improve application performance, reliability, and maintainability.
- Work closely with product, backend, and security teams to deliver secure and seamless user experiences.
- Continuously evaluate and adopt modern mobile development practices to improve technical solutions.
## Requirements
- 3+ years of professional experience developing Android applications from scratch.
- Strong proficiency in Kotlin and Java, with solid understanding of Android development principles.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- Proven experience deploying and optimizing on-device AI or machine learning models on Android platforms.
- Hands-on experience integrating lightweight ML models for applications such as face recognition, liveness detection, or action recognition.
- Strong knowledge of Android video processing, including camera capture, real-time frame processing, and video stream handling.
- Experience developing computer vision-based products, including face detection, anti-spoofing, and identity verification workflows.
- Strong understanding of Android architecture, Jetpack components, OkHttp, and related mobile development frameworks.
- Familiarity with cross-platform technologies such as JavaScript, TypeScript, or React is a plus.
- Knowledge of C++ and JNI is considered an advantage.
- Strong problem-solving skills, ability to work independently, and experience collaborating with distributed teams.
## Benefits
- Fully remote work-from-home arrangement.
- Opportunity to work on innovative mobile solutions within a global technology environment.
- Competitive salary and comprehensive benefits package.
- Exposure to advanced technologies including artificial intelligence, blockchain, and mobile security solutions.
- Opportunity to collaborate with highly skilled engineers across international teams.
- Fast-paced environment with autonomy and ownership over impactful projects.
- Continuous learning and career development opportunities.
- Inclusive and diverse workplace culture focused on innovation and collaboration.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
[Why Apply Through Jobgether?](https://jobgether.com/how-jobgether-works)
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Key Responsibilities
- Build, develop, and optimize high-performance Android applications for risk control and identity verification.
- Integrate and deploy lightweight AI models on Android devices, including face recognition and liveness detection.
- Design and maintain Android client-side libraries and frameworks to improve development efficiency.
- Collaborate with engineering teams to develop hybrid frameworks and optimize on-device inference pipelines.
- Implement user verification workflows, including camera capture, on-device preprocessing, and backend API communication.
- Develop and optimize real-time video processing capabilities, including camera stream management and frame analysis.
- Contribute to Android architecture decisions and improve application performance, reliability, and maintainability.
- Work closely with product, backend, and security teams to deliver secure and seamless user experiences.
- Continuously evaluate and adopt modern mobile development practices to improve technical solutions.
Requirements
- Bachelor’s or Master’s degree in Computer Science
- Engineering
- or a related technical field
Skills Required
KotlinJavaAndroid developmentOn-device AIMachine learningFace recognitionLiveness detectionAction recognitionAndroid video processingCamera captureReal-time frame processingVideo stream handlingComputer visionFace detectionAnti-spoofingIdentity verificationAndroid architectureJetpackOkHttpProblem-solvingAbility to work independentlyCollaboration with distributed teamsJavaScriptTypeScriptReactC++JNI
Benefits
- Fully remote work-from-home arrangement
- Competitive salary
- Comprehensive benefits package
- Exposure to advanced technologies including AI, blockchain, and mobile security
- Continuous learning and career development opportunities
- Inclusive and diverse workplace culture
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