Posted:3 weeks ago| Platform:
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Exp: 22+yrs Location: Pune/Chennai/Mumbai/Bangalore NP: Immediate joiner – 30days Job Description: GenAI & Data Science; Digital Architecture & Enablement; Emerging Tech & Innovation Evangelist Principles and workings of generative models. Knowledge of saving and loading AI models, such as using formats like ONNX or native formats of deep learning frameworks. Cloud platforms like AWS, GCP, or Azure, especially services related to AI and ML. Containerization tools like Docker to package the application and its dependencies. GPUs, TPUs, or other accelerators, and how to leverage them for AI inference. Techniques like model quantization, pruning, and distillation to improve inference speed and reduce memory footprint. Distribute incoming application traffic across multiple instances to ensure optimal resource utilization. Set up monitoring tools to track the health, uptime, and performance of the deployed application. Secure deployment of applications, including encryption, authentication, and authorization mechanisms. Data protection principles, especially when handling user data or other sensitive information. Proficiency with tools like Git. CI/CD pipelines and tools like Jenkins, Travis CI, or GitHub Actions. Networking principles to ensure the application is accessible and communicates effectively with other services or databases. Integrating databases to store or retrieve data, especially if the AI application requires real-time data access. Job Location: BangaloreChennaiMumbaiPune
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