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Strong global brand and mid-level ML-app role increases competition.
Skills blend of app development and ML are transferable across industries but require ML experience.
Explicit 3+ years plus mandatory ML frameworks, cloud, and mobile tech raise filter strictness.
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Design, develop, and maintain scalable AI/ML-powered applications for mobile and web, enhancing content delivery and user engagement.
Integrate and optimize AI/ML models in applications, ensuring high performance, low latency, and model version management in production.
Collaborate closely with cross-functional teams to translate business needs into AI/ML technical solutions and manage deployment and quality assurance processes.
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field.
Minimum 3 years of experience in app development with a strong focus on AI/ML integration and deployment.
Proficiency with AI/ML frameworks (TensorFlow, PyTorch, Keras), app development technologies (React Native, Swift, Kotlin, Django, Flask), and cloud platforms (AWS, GCP, Azure).
Experience with mobile and web application development including model integration and real-time inference.
Experienced in full-stack development combining AI/ML expertise with cloud-native application deployment and scalable system design.
Capable of optimizing AI models for production, with hands-on knowledge of advanced ML techniques such as transfer learning, reinforcement learning, and prompt engineering.
Operates effectively within cross-functional teams, translating complex AI/ML requirements into robust, user-focused applications in a fast-paced environment.