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Azure AI Application Architect / MLOps Consultant

MNR SolutionsHyderabad

27 days ago

Job description

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 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, 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, & Governance :

RBAC, Managed Identities, Private Endpoints

Data privacy, encryption, and responsible AI Skills :

Exposure to multi-cloud AI deployment strategies.

Knowledge of AI-driven business process automation and Agentic AI Skills :

Strong analytical and problem-solving mindset.

Proactive, self-managed, and Excellent communication and stakeholder engagement skills.

Team player with mentoring and leadership capabilities.

Curious, innovative, and eager to learn and share knowledge.

Strong project tracking and execution :

Bachelors or Masters degree in Computer Science, IT, or Data Science.

Preferred : Engineering / Science graduate with specialization in AI / ML.

Mandatory Certification : Microsoft Certified : Azure AI Engineer Associate and / or Azure Solutions Architect :

Enterprise-grade intelligent applications powered by Azure AI.

Architecture patterns, reusable AI components, and integration blueprints.

Documented best practices for MLOps and AI governance.

AI-led process transformation roadmaps and strategy Process :

Scenario-based technical discussions.

Hands-on assignment (to be submitted within the given timeline).

(ref : hirist.tech)

Application Consultant • Hyderabad