AI Engineer
- Quinnox
- 7 - 12 years
- Mumbai
- 9 days ago
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Job Description
Job Summary:
We are seeking an experienced AI Application Developer designs our Customer Automations AI project. Resource to have experience build,, deploys, and maintains AI-powered solutions on the Microsoft Azure platform. The role involves leveraging various Azure AI services, collaborating with cross-functional teams, and ensuring the scalability, security, and performance of applications.
Key Responsibilities
- AI Solution Development: Design, build, and deploy end-to-end intelligent applications and AI agents using Azure AI services, such as Azure OpenAI Service, Azure Machine Learning, Azure Cognitive Services (for vision, speech, and language), and Azure AI Search.
- Integration: Integrate AI models and capabilities into existing enterprise applications, data pipelines, and platforms like the Power Platform (Power Apps, Power Automate, Copilot Studio) using REST APIs, SDKs, and custom connectors.
- Model Implementation: Collaborate with data scientists to implement and train machine learning and deep learning models, manage their lifecycle (MLOps), and deploy them as scalable web services or container instances (e.g., Azure Kubernetes Service).
- Generative AI & LLMs: Design and implement generative AI solutions and conversational agents, utilizing prompt engineering, Retrieval-Augmented Generation (RAG) patterns, and knowledge mining to provide grounded responses.
- Collaboration & Documentation: Work closely with solution architects, data engineers, and business stakeholders to translate requirements into technical solutions. Document system designs, AI workflows, and operational guides.
- Monitoring & Optimization: Implement monitoring, logging, and performance tuning for AI applications using tools like Azure Monitor and Application Insights to ensure reliability and cost-efficiency.
- Security & Compliance: Apply Responsible AI principles and implement security best practices, including access control, data encryption, and content safety filters, to ensure compliance with industry standards.
Required Skills and Qualifications
- Experience: Typically requires 2-5+ years of experience in software or application development, with direct experience in building cloud-native and AI-enabled solutions.
- Programming Languages: Strong proficiency in Python, C#, Java, or JavaScript is essential for development and scripting.
- Azure Technologies: Hands-on experience with the Azure AI platform, including Azure Machine Learning, Azure Cognitive Services, Azure OpenAI, and related services like Azure Functions, Logic Apps, and Azure Cosmos DB.
- Development Practices: Experience with DevOps and MLOps practices, CI/CD pipelines (Azure DevOps/GitHub), containerization (Docker, Kubernetes), and API management.
- Problem-Solving: Excellent analytical and problem-solving skills to troubleshoot complex issues and optimize AI models and workflows.
Preferred Certifications
- Microsoft Certified: Azure AI Engineer Associate (AI-102) or Microsoft Certified: Azure Developer Associate certifications are highly valued.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Technical LeadEmployement Type: Full timeContact Details:
Company: QuinnoxLocation(s): Mumbai
Keyskills: Data Science AI Engineer Machine Learning
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Quinnox
Quinnox is a leading provider of IT consulting and services to global clients. We devise solutions that fit business requirements and deliver measurable business gains. By leveraging the on-shore - offshore model, we provide speedy and affordable solutions that allow its customers to stretch their I...
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