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Tier-1 brand with specialized GenAI skills yields medium applicant density.
Generative AI and LLM specialization with platform-specific skills makes cross-industry transferability limited.
Mandatory 8+ years plus specialized GenAI, React, cloud, and MLOps requirements enforce high shortlisting strictness.
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Design, develop, and deploy advanced Generative AI models and applications, including large language models and generative architectures.
Build and maintain interactive chat interfaces with capabilities such as HTTP streaming, asynchronous processing, secure file uploads, and chat formatting using React.
Optimize AI models for performance, scalability, and efficiency; develop data pipelines and ensure responsible deployment following best practices and regulatory guidelines.
Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related quantitative field.
Minimum 8 years professional experience in software development with strong Python expertise.
Proven hands-on experience with Generative AI models (e.g., LLMs, GANs) and deep learning frameworks like TensorFlow, PyTorch, or JAX.
Experience with Google AI/ML platforms (e.g., Google ADK), React front-end development, and cloud platforms (AWS, Azure, GCP); familiarity with containerization (Docker, Kubernetes).
Experienced technologist with strong dual expertise in Python-based Generative AI model development and React-based front-end engineering for AI applications.
Capable of managing the full AI lifecycle including research, prototyping, deployment, and optimization in cloud and MLOps environments.
Comfortable leading technical discussions, code reviews, troubleshooting, and collaborating cross-functionally with data scientists and product managers.