<p></p><p><b>Position :</b> AI Engineer<br/><br/><b>Experience :</b> 6 to 10 Years<br/><br/><b>Location :</b> Bangalore<br/><br/><b>Job Type :</b> Summary :</b></p><p><br/></p>We are seeking a highly skilled AI Engineer with 6 to 10 years of experience, possessing a strong foundation in backend development and cloud technologies, particularly within the Microsoft Azure ecosystem.
The ideal candidate has practical experience across diverse AI/ML domains, including NLP, Computer Vision, Video Processing, Text Extraction, Dubbing, and Translation.
This role is critical for designing, developing, and deploying scalable, production-ready, intelligent applications using modern cloud-native Responsibilities :</b></p><p><br/></p>- Backend & Microservices Development : Design and develop advanced backend components, data systems, scalable data pipelines, and microservices that power AI-driven applications.<br/><br/><p></p><p>- Cloud-Native Infrastructure : Engineer and implement production-ready, cloud-native infrastructures (or on-premise), covering everything from optimized databases to serverless architectures.<br/><br/></p><p>- AI/ML Integration & Deployment : Integrate and deploy diverse AI models and services into the production environment.
This includes specialized solutions for NLP, computer vision, and video processing.<br/><br/></p><p>- Azure AI Utilization : Expertly utilize Azure AI Services, Cognitive Services, and other cloud-native AI tools to accelerate the development and deployment of intelligent applications.<br/><br/></p><p>- Software Engineering Best Practices : Follow and enforce best practices in software engineering, including setting up robust CI/CD pipelines, comprehensive testing, and detailed documentation.<br/><br/></p><p>- Cross-Functional Collaboration : Collaborate effectively with data scientists, product managers, and other engineering teams to deliver highly scalable and maintainable AI :</b></p><p><br/></p>- Experience : 6 to 10 years of professional experience in software engineering, with a focus on AI/ML applications.<br/><br/><p></p><p>- Backend Proficiency : Strong foundation and hands-on experience in backend development (e.g., Python, C#/.NET) and data systems architecture.<br/><br/></p><p>- Cloud Expertise : Strong experience with Microsoft Azure cloud technologies, including services for compute, storage, and networking.<br/><br/></p><p>- AI Domain Knowledge : Practical experience in one or more AI/ML domains : NLP, Computer Vision, Video Processing, Text Extraction, Dubbing, or Translation.<br/><br/></p><p>- Azure AI Services : Hands-on experience utilizing Azure AI Services and Cognitive Services.<br/><br/></p><p>- Process & Tools : Experience with modern software engineering practices : CI/CD, automated testing, and microservices Skills :</b> Experience with distributed computing frameworks (Spark), containerization (Docker/Kubernetes), and MLOps tools.</p><br/><p></p> (ref:hirist.tech)