<p><p><b>Job Summary :</b><br/><br/>We are seeking a highly skilled AI Engineer with 5-8 years of experience, possessing a strong foundation in backend development and cloud technologies, particularly within the Microsoft Azure ecosystem.
</p><p><br/></p><p>The ideal candidate has practical experience across diverse AI/ML domains, including NLP, Computer Vision, Video Processing, Text Extraction, Dubbing, and Translation.
</p><p><br/></p><p>This role is critical for designing, developing, and deploying scalable, production-ready, intelligent applications using modern cloud-native practices.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Backend & Microservices Development: Design and develop advanced backend components, data systems, scalable data pipelines, and microservices that power AI-driven applications.<br/><br/>- Cloud-Native Infrastructure: Engineer and implement production-ready, cloud-native infrastructures (or on-premise), covering everything from optimized databases to serverless architectures.<br/><br/>- 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/>- 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/>- 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/>- Cross-Functional Collaboration: Collaborate effectively with data scientists, product managers, and other engineering teams to deliver highly scalable and maintainable AI solutions.<br/><br/><b>Qualifications :</b><br/><br/>- Experience: 5-8 years of professional experience in software engineering, with a focus on AI/ML applications.<br/><br/>- Backend Proficiency: Strong foundation and hands-on experience in backend development (e.g., Python, C#/.NET) and data systems architecture.<br/><br/>- Cloud Expertise: Strong experience with Microsoft Azure cloud technologies, including services for compute, storage, and networking.<br/><br/>- AI Domain Knowledge: Practical experience in one or more AI/ML domains: NLP, Computer Vision, Video Processing, Text Extraction, Dubbing, or Translation.<br/><br/>- Azure AI Services: Hands-on experience utilizing Azure AI Services and Cognitive Services.<br/><br/>- Process & Tools: Experience with modern software engineering practices: CI/CD, automated testing, and microservices architecture.<br/><br/><b>Preferred Skills:</b><br/><br/>- Experience with distributed computing frameworks (Spark), containerization (Docker/Kubernetes), and MLOps tools.</p><br/></p> (ref:hirist.tech)