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Tier-1 brand, metro location, mid-level generalist title, and broad AI/fullstack requirements increase competition.
Core app development and ML engineering skills (mobile, web, ML frameworks, cloud) are widely transferable across industries.
Explicit 3+ years plus many mandatory ML, mobile, cloud, and MLOps skills imply high filtering.
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Design, develop, and maintain AI/ML-powered mobile and web applications supporting millions of users with scalable, high-performance features.
Integrate and optimize AI/ML models in applications collaborating with data scientists, focusing on model deployment, latency reduction, and performance tuning.
Collaborate cross-functionally with product, design, and engineering teams to align AI features to business objectives and ensure seamless technical integration.
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field.
3+ years of experience in app development with strong AI/ML integration focus.
Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Keras) and app development frameworks (React Native, Swift, Kotlin, Django, Flask).
Experience with cloud platforms (AWS, GCP, Azure) and AI model deployment in production environments.
Experienced in end-to-end AI/ML application development including real-time data processing and model optimization for mobile/web platforms.
Technically skilled with full-stack development and cloud-native AI services, capable of translating business requirements into scalable technical solutions.
Able to communicate complex AI/ML concepts to stakeholders and work effectively in cross-disciplinary teams within a fast-paced, innovative environment.