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Strong Tier-1 brand, mid-level generalist role, and broad AI/app skill set increase candidate competition.
Skills in AI/ML app integration are broadly transferable across industries, so background sensitivity is low.
Explicit 3+ years, mandatory AI/ML integration skills, and specific tech stack and MLOps requirements.
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Design, develop, and maintain scalable AI/ML-powered mobile and web applications, integrating machine learning models for enhanced user experiences.
Optimize AI/ML models for production deployment, ensuring high performance, low latency, and reliability for millions of users.
Collaborate cross-functionally with product managers, designers, and AI/ML engineers to align applications with business objectives and translate technical solutions effectively to stakeholders.
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI, or related field.
Minimum 3 years of professional experience in app development with a focus on AI/ML integration and deployment.
Proficiency in mobile and web app development frameworks (e.g., React Native, Swift, Kotlin, Django, Flask) and AI/ML libraries (TensorFlow, PyTorch, Keras).
Experience with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes) for scalable AI application deployment.
Experienced full-stack developer with a strong background in integrating and optimizing AI/ML models in production environments for large-scale user bases.
Skilled in collaborating with interdisciplinary teams including AI/ML engineers, data scientists, and business stakeholders to deliver AI-driven application features.
Proficient in modern AI technologies like deep learning frameworks, generative models, prompt engineering, and MLOps practices for continuous model improvement and deployment.