Job Responsibilities

• Design, develop, and deploy AI‑powered solutions.
• Build scalable AI systems and integrate AI / Machine Learning (ML) models into applications, optimizing AI workflows for production.
• Collaborate closely with data scientists, software engineers, and DevOps teams to bring cutting‑edge AI capabilities to life.
• Implement and optimize AI / ML models in production via containerization (Docker, Kubernetes) for speed, accuracy, and cost‑effectiveness.
• Deploy AI models using RESTful APIs, gRPC, or edge computing solutions.
• Implement monitoring, logging, and error‑handling mechanisms to track AI performance.
• Design APIs and microservices to integrate AI capabilities into software systems, ensuring they are secure, performant, and well‑documented.
• Monitor and optimize model performance in production environments, ensuring API latency and availability meet the required SLAs.
• Build scala...