Back
High competition: strong global brand, mid-level (3+ yrs) generalist app+ML role, and broad full-stack plus ML skillset.
Medium – combines transferable app development skills with specialized ML model integration and MLOps requirements.
High strictness due to explicit years, mandatory AI/ML integration experience, and an extensive, specific tech stack.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, integrate, and maintain scalable AI/ML-powered applications for mobile and web platforms serving millions of users.
Collaborate with cross-functional teams to optimize AI/ML models for performance, real-time inference, and seamless deployment in production environments.
Own end-to-end app solutions including model integration, deployment, quality assurance, and continuous improvement of AI-driven features.
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field.
3+ years of experience in app development with strong focus on AI/ML integration and deployment.
Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Keras) and app development technologies for mobile/web (React Native, Swift, Kotlin, Django, Flask).
Experience with cloud platforms (AWS, GCP, Azure) and containerization/deployment tools like Docker and Kubernetes.
Experienced full-stack developer with hands-on expertise in integrating complex AI/ML models into scalable, high-performance applications.
Skilled at cross-functional collaboration, translating business needs into technical AI/ML app solutions, and communicating effectively with technical and non-technical stakeholders.
Proficient in modern AI techniques including generative models, prompt engineering, model fine-tuning, and cloud-native AI services deployment.