AI Engineer - Computer Vision

Position : AI Engineer

Experience : 6 to 10 Years

Location : Bangalore

Job Type : Summary :

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 :

• Backend & Microservices Development : Design and develop advanced backend components, data systems, scalable data pipelines, and microservices that power AI-driven applications.
• Cloud-Native Infrastructure : Engineer and implement production-ready, cloud-native infrastructures (or on-premise), covering everything from optimized databases to serverless architectures.
• 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.
• 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.
• Software Engineering Best Practices : Follow and enforce best practices in software engineering, including setting up robust CI / CD pipelines, comprehensive testing, and detailed documentation.
• Cross-Functional Collaboration : Collaborate effectively with data scientists, product managers, and other engineering teams to deliver highly scalable and maintainable AI :
• Experience : 6 to 10 years of professional experience in software engineering, with a focus on AI / ML applications.
• Backend Proficiency : Strong foundation and hands-on experience in backend development (e.g., Python, C# / .NET) and data systems architecture.
• Cloud Expertise : Strong experience with Microsoft Azure cloud technologies, including services for compute, storage, and networking.
• AI Domain Knowledge : Practical experience in one or more AI / ML domains : NLP, Computer Vision, Video Processing, Text Extraction, Dubbing, or Translation.
• Azure AI Services : Hands-on experience utilizing Azure AI Services and Cognitive Services.
• Process & Tools : Experience with modern software engineering practices : CI / CD, automated testing, and microservices Skills : Experience with distributed computing frameworks (Spark), containerization (Docker / Kubernetes), and MLOps tools.

(ref : hirist.tech)