AI/ML Solution Architect – Azure & Edge AI
- Location
- Pan India
- Salary
- Not specified
- Company
- Akash pawar
Job description
• Role & Company / Project Overview: Indus-Infotech is looking for an experienced AI/ML Solution Architect to design and deliver enterprise-scale AI/ML solutions across cloud and edge environments. We are seeking a technology leader with strong expertise in AI/ML architecture, Microsoft Azure, MLOps, Computer Vision, and cloud-native application development who can transform PoCs into secure, scalable, production-ready enterprise solutions. Looking for a hands-on architect who combines strategic solution design with deep technical expertise and a proven track record of delivering enterprise-grade AI/ML solutions. • Key Responsibilities & Daily Duties: - Design end-to-end enterprise AI/ML architectures across cloud and edge platforms. - Lead AI/ML solutions from PoC to pilot, production, and enterprise scale. - Architect Computer Vision and real-time video analytics solutions. - Establish scalable MLOps frameworks, model monitoring, and lifecycle management. - Design secure APIs, microservices, data pipelines, and cloud-native applications. - Provide technical leadership and collaborate with cross-functional engineering teams and business stakeholders. • Required Qualifications, Skills & Experience: - Experience: 12+ Years of relevant industry experience. - Primary Cloud: Microsoft Azure. - AI/ML Solution Architecture & Deep Learning. - Microsoft Azure Cloud & Azure Machine Learning. - Computer Vision – YOLO, OpenCV, PyTorch, TensorFlow. - Edge AI, Video Analytics & GPU-Based Inference. - MLOps, Model Monitoring & Automated Retraining. - Python, C#/.NET & API Architecture. - Docker, Kubernetes & Microservices. - Data Engineering & Real-Time Data Pipelines. - CI/CD, Azure DevOps, GitHub & Infrastructure as Code. - Generative AI, LLMs & Predictive Analytics. - Cloud Security, AI Governance & Productionization. - Preferred Industry Experience: Oil & Gas | Energy | Manufacturing | Utilities | Mining | Industrial IoT/OT. • Working Hours, Shifts & Location Details: - Role details provided as per company standards. • Compensation & Benefits: - Not specified. • Application Instructions: Interested candidates can share their updated resume with the hiring team.