Urgent! Azure AI Application Architect/MLOps Consultant Job Opening In Pune – Now Hiring MNR Solutions
<p><p><b>Key Responsibilities :</b></p><p><br/>- Architect and implement intelligent applications using Azure AI services including Azure OpenAI, Azure Cognitive Services, and Azure Machine Learning.<br/></p><p><br/></p><p>- Lead AI experimentation initiatives to evaluate models, configurations, and deployment strategies aligned with business goals.<br/></p><p><br/></p><p>- Embed AI capabilities such as NLP, computer vision, speech recognition, and decision-making into enterprise applications.<br/></p><p><br/></p><p>- Integrate AI models with internal and external systems (web, mobile, APIs) ensuring seamless interaction with business logic.<br/></p><p><br/></p><p>- Design and implement scalable, low-latency, and high-availability AI components using Azure App Services, AKS, and serverless patterns.<br/></p><p><br/></p><p>- Provision and manage Azure AI Foundry workspaces, compute environments, and model endpoints.<br/></p><p><br/></p><p>- Implement secure access controls, RBAC, and data governance policies to ensure compliance and responsible AI practices.<br/></p><p><br/></p><p>- Guide development teams on MLOps best practices including model versioning, CI/CD pipelines, monitoring, and drift detection.<br/></p><p><br/></p><p>- Collaborate with business stakeholders to identify opportunities for AI-led process optimization and transformation.<br/></p><p><br/></p><p>- Contribute to internal AI strategy committees and innovation forums to shape enterprise AI adoption.<br/></p><p><br/></p><p>- Document architecture patterns, reusable components, and integration blueprints for AI applications.<br/></p><p><br/></p><p>- Actively participate in hands-on coding and development of AI Skills :</b></p><p><br/></p><p>Azure AI & ML :</p><p><br/></p><p>- Azure AI Foundry : Workspace provisioning, model lifecycle management<br/></p><p><br/></p><p>- Azure OpenAI : Prompt engineering, model fine-tuning, endpoint management<br/></p><p><br/></p><p>- Azure Cognitive Services : Vision, Speech, Language, and Decision APIs<br/></p><p><br/></p><p>- Azure Machine Learning : Training, deployment, monitoring, and MLOps<br/></p><p><br/></p><p>- Experience with LLM orchestration and prompt chaining<br/></p><p><br/></p><p>- Familiarity with Azure AI Studio and Azure Arc<br/></p><p><br/></p><p>- Proficiency in using Azure AI SDKs within custom applications<br/></p><p><br/></p><p>- Hands-on experience in at least one AI/ML domain (Computer Vision, Automation, Predictive Analytics, RPA, etc.) with relevant </p><p>libraries (Pandas, TensorFlow, Scikit-learn, etc.)<br/></p><p><br/></p><p>Application Integration :</p><p><br/></p><p>- Programming : Python, .NET, Integration : REST APIs, Azure Functions, Logic Apps, Event Grid<br/></p><p><br/></p><p>- Architecture : Microservices, serverless, event-driven, real-time & batch inference pipelines<br/></p><p><br/></p><p>- Infrastructure : Azure App Services, AKS, API Management<br/></p><p><br/></p><p>- Experience with containerized AI workloads (Docker, & Governance :</p><p><br/></p><p>- RBAC, Managed Identities, Private Endpoints<br/></p><p><br/></p><p>- Data privacy, encryption, and responsible AI Skills :</b></p><p><br/></p><p>- Exposure to multi-cloud AI deployment strategies.<br/></p><p><br/></p><p>- Knowledge of AI-driven business process automation and Agentic AI Skills :</b></p><p><br/></p><p>- Strong analytical and problem-solving mindset.<br/></p><p><br/></p><p>- Proactive, self-managed, and Excellent communication and stakeholder engagement skills.<br/></p><p><br/></p><p>- Team player with mentoring and leadership capabilities.<br/></p><p><br/></p><p>- Curious, innovative, and eager to learn and share knowledge.<br/></p><p><br/></p><p>- Strong project tracking and execution :</b></p><p><br/></p><p>- Bachelors or Masters degree in Computer Science, IT, or Data Science.<br/></p><p><br/></p><p>- Preferred : Engineering/Science graduate with specialization in AI/ML.<br/></p><p><br/></p><p>- Mandatory Certification : Microsoft Certified : Azure AI Engineer Associate and/or Azure Solutions Architect :</b></p><p><br/></p><p>- Enterprise-grade intelligent applications powered by Azure AI.<br/></p><p><br/></p><p>- Architecture patterns, reusable AI components, and integration blueprints.<br/></p><p><br/></p><p>- Documented best practices for MLOps and AI governance.<br/></p><p><br/></p><p>- AI-led process transformation roadmaps and strategy Process :</b></p><p><br/></p><p>- Scenario-based technical discussions.<br/></p><p><br/></p><p>- Hands-on assignment (to be submitted within the given timeline).</p><br/></p> (ref:hirist.tech)
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Unlock Your Azure AI Potential: Insight & Career Growth Guide
Real-time Azure AI Jobs Trends in Pune, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Azure AI in Pune, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 140439 jobs in India and 2472 jobs in Pune. This comprehensive analysis highlights market share and opportunities for professionals in Azure AI roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! MNR Solutions is currently hiring and seeking a Azure AI Application Architect/MLOps Consultant to join their team. Feel free to download the job details.
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The fundamental ethical values are:The average salary range for a Azure AI Application Architect/MLOps Consultant Jobs India varies, but the pay scale is rated "Standard" in Pune. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Azure AI Application Architect/MLOps Consultant typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Azure AI Application Architect/MLOps Consultant interview at MNR Solutions, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the MNR Solutions's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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