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About YouYou are a highly skilled expert who thrives on crafting and deploying sophisticated AI solutions that address real-world challenges at scale.Key Responsibilities : - Develop scalable machine learning and AI solutions for production environments, ensuring optimal performance and efficiency. Design and optimize end-to-end ML pipelines, from data ingestion through deployment, leveraging industry-leading tools and techniques. Build AI-powered services and APIs using Python and FastAPI, with a focus on scalability and maintainability. Architect, deploy, and maintain AI solutions in cloud-based infrastructure, including AWS, Azure, or GCP. Containerize and orchestrate AI workloads using Docker and Kubernetes, ensuring seamless integration and high availability. Integrate AI models with diverse data sources, including structured and unstructured data (SQL, NoSQL), to drive business value and insights. Apply Responsible AI principles to ensure fairness, privacy, and governance across all AI initiatives. Collaborate with cross-functional teams to contribute to architectural design, code reviews, and technical decision-making. Monitor, evaluate, and optimize model performance, scalability, and reliability, leveraging data-driven insights and metrics. Stay up-to-date with the latest AI frameworks, tools, and best practices, recommending innovative solutions to drive business growth and improvement. Contribute to internal documentation, process improvements, and AI engineering standards, promoting knowledge sharing and collaboration within the organization. #J-18808-Ljbffr
