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8.0 - 12.0 years
15 - 20 Lacs
hyderabad, pune
Hybrid
Key Responsibilities Architect and implement intelligent applications using Azure AI services including Azure OpenAI, Azure Cognitive Services, and Azure Machine Learning. Lead AI experimentation initiatives to evaluate models, configurations, and deployment strategies aligned with business goals. Embed AI capabilities such as NLP, computer vision, speech recognition, and decision-making into enterprise applications. Integrate AI models with internal and external systems (web, mobile, APIs) ensuring seamless interaction with business logic. Design and implement scalable, low-latency, and high-availability AI components using Azure App Services, AKS, and serverless patterns. Provision and manage Azure AI Foundry workspaces, compute environments, and model endpoints. Implement secure access controls, RBAC, and data governance policies to ensure compliance and responsible AI practices. Guide development teams on MLOps best practices including model versioning, CI/CD pipelines, monitoring, and drift detection. Collaborate with business stakeholders to identify opportunities for AI-led process optimization and transformation. Contribute to internal AI strategy committees and innovation forums to shape enterprise AI adoption. Document architecture patterns, reusable components, and integration blueprints for AI applications. Actively participate in hands-on coding and development of AI solutions. Required Skills Azure AI & ML Azure AI Foundry: Workspace provisioning, model lifecycle management Azure OpenAI: Prompt engineering, model fine-tuning, endpoint management Azure Cognitive Services: Vision, Speech, Language, and Decision APIs Azure Machine Learning: Training, deployment, monitoring, and MLOps Experience with LLM orchestration and prompt chaining Familiarity with Azure AI Studio and Azure Arc Proficiency in using Azure AI SDKs within custom applications Hands-on experience in at least one AI/ML domain (Computer Vision, Automation, Predictive Analytics, RPA, etc.) with relevant libraries (Pandas, TensorFlow, Scikit-learn, etc.) Application Integration Programming: Python, .NET, JavaScript/TypeScript Integration: REST APIs, Azure Functions, Logic Apps, Event Grid Architecture: Microservices, serverless, event-driven, real-time & batch inference pipelines Infrastructure: Azure App Services, AKS, API Management Experience with containerized AI workloads (Docker, Kubernetes) Security & Governance RBAC, Managed Identities, Private Endpoints Data privacy, encryption, and responsible AI principles Preferred Skills Exposure to multi-cloud AI deployment strategies. Knowledge of AI-driven business process automation and Agentic AI frameworks. Regards, Sumedha
Posted 9 hours ago
2.0 - 6.0 years
0 Lacs
chennai, tamil nadu
On-site
As an AI developer, you will be part of a team that is focused on transforming innovative ideas into successful businesses. We are seeking individuals who have demonstrated their skills and passion by creating functional products, tools, or MVPs in the field of artificial intelligence. If you excel in the technical aspects but require support to elevate your project to the next stage, then this role presents an ideal opportunity for you.,
Posted 4 days ago
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