Artificial Intelligence & Machine Learning

Artificial Intelligence | Machine Learning | AI | ML

Azure Drive

Wissen Infotech has been selected as the Digital Transformation partner by one of the largest logistics companies. We have been awarded the contract to build the digital infrastructure and develop digital services for the company using Azure. Wissen Infotech holds a Solution Partner Designation in Digital & APP Innovation.  We are looking to expand the team for this project – this is an opportunity for Azure specialists to join a growing team and design and develop high-end cloud systems.

Come and join us for the walk-in drive on Nov 12th 2022 for the same.

Apart from your Azure expertise, here are a few more things that could give you an edge over others

  • If you are a go-getter
  • If you like working in an environment that challenges you and helps you grow
  • If you like attention to detail
  • If you can work on complex tasks with minimal guidance
  • If you enjoy multi-tasking  –

And, if you love meeting deadlines!

Azure Data Factory Engineer
  • Implement Data Architecture from definition phase to go-live phase.
  • Have worked on full data life cycle of ingestion from various sources, storing in raw data store, Data curation & harmonization, Data processing/transformation, Data Storage, Interactive analytics, and visualization.
  • Define conceptual and low-level model of data Architecture
  • Review design to make sure design is aligned with Architecture
  • Lead performance tuning, engineering, and capacity planning exercises for Databases and DWs
Azure Data Factory-Technical Architect
  • Implement Data Architecture from definition phase to go-live phase.
  • Have worked on full data life cycle of ingestion from various sources, storing in raw data store, Data curation & harmonization, Data processing/transformation, Data Storage, Interactive analytics, and visualization.
  • Work with Client Technical Manager by understanding customer’s landscape & their IT priorities
  • Define conceptual and low-level model of data Architecture
  • Review design to make sure design is aligned with Architecture
  • Lead performance tuning, engineering, and capacity planning exercises for Databases and DWs
  • Help PM in identifying key technical risks and mitigation plan for the same
  • Help PM in effort estimation and planning
  • Mentor & guide Software Engineers
Azure Infra Support-Architect
  • Conduct analysis, design and implementation of infrastructure and cloud data center solutions including computing, networking, routing and security
  • Design and support solutions in a cloud computing and virtualized computing environment understand hybrid cloud architectures
  • Create automation and use monitoring tools to efficiently build, deploy and support cloud implementations
  • Partner professionally with business groups and resources across organizations to achieve goals and objectives
  • Successfully communicate, evangelize and implement the architectural vision across teams and products
  • Manage overarching product/platform architecture and make sure that design and development of all projects follow the architectural vision
  • Move products to a fully Self-Service SaaS-based model where the client or a third-party company would be setting up and managing the products…..
Azure DevOps Engineer
  • Need to be able to configure build and release pipelines for cloud and on-premise applications
  • Strong technical experience in infrastructure design, build and deployment, including private and public cloud, networking, connectivity, storage, virtualization and identity
  • Experience on Securing, managing, and monitoring Azure environments
  • Experience building and deploying Azure resources using IaC, Azure CLI, PowerShell/Azure PowerShell, Azure Portal, Terraform (a must) and ARM
  • Experience to manage/automate infrastructure automatically using Terraforms. Jenkinsis the key CI/CD tool used to run these Terraforms. Azure DevOps – Senior Developer
  • Need to be able to configure build and release pipelines for cloud and on-premise applications
  • Strong technical experience in infrastructure design, build and deployment, including private and public cloud, networking, connectivity, storage, virtualization and identity
  • Experience on Securing, managing, and monitoring Azure environments
  • Experience building and deploying Azure resources using IaC, Azure CLI, PowerShell/Azure PowerShell, Azure Portal, Terraform (a must) and ARM
  • Experience to manage/automate infrastructure automatically using Terraforms. Jenkinsis the key CI/CD tool used to run these Terraforms.
Azure DevOps-Technical Architect
  • Candidate must collaborate with customers functional and technical teams to ensure Azure based solutions are appropriately engineered, tested and deployed
  • Candidate will be responsible for designing, developing, and maintaining Azure CloudPlatform
  • Need to be able to configure build and release pipelines for cloud and on-premise applications
  • Strong technical experience in infrastructure design, build and deployment, including private and public cloud, networking, connectivity, storage, virtualization and identity
  • Experience on Securing, managing, and monitoring Azure environments
  • Experience building and deploying Azure resources using IaC, Azure CLI, PowerShell/Azure PowerShell, Azure Portal, Terraform (a must) and ARM
  • Experience to manage/automate infrastructure automatically using Terraforms. Jenkinsis the key CI/CD tool used to run these Terraforms.
  • Experience working with Azure technologies such as virtual machines, blob, queues,tables, Cloud Services, web apps, functions apps.
Power Bi Engineer
  • Experience in requirement analysis, design and prototyping.
  • Experience in building enterprise models using Power BI desktop.
  • Develop data models, ETL packages, OLAP cubes, and reports utilizing Power BI applying best practices to the development lifecycle. Documentation of source-to-target mappings, data dictionaries, and database design.
  • Creation of Power BI dashboard , report , KPI scorecard and transforming the manual reports, support Power BI dashboard deployment.
  • Strong exposure to Visualization , transformation, data analysis and formatting skills.
  • Connecting to data sources, importing data and transforming data for Business Intelligence.
  • Experience in publishing and scheduling Power BI reports
  • Architect and develop data models, ETL packages, OLAP cubes, and reports utilizing Power BI applying best practices to the development lifecycle.
  • Documentation of source-to-target mappings, data dictionaries, and database design.
  • Connecting to data sources, importing data and transforming data for Business Intelligence.
  • Experience in publishing and scheduling Power BI reports
  • Architect and develop data models, ETL packages, OLAP cubes, and reports utilizing Power BI applying best practices to the development lifecycle.
  • Documentation of source-to-target mappings, data dictionaries, and database design.
Power Bi Architect
  • Technical Architect – IT Development
  • Experience in requirement analysis, design and prototyping.
  • Experience in building enterprise models using Power BI desktop.
  • Develop data models, ETL packages, OLAP cubes, and reports utilizing Power BI applying best practices to the development lifecycle. Documentation of source-to-target mappings, data dictionaries, and database design.
  • Creation of Power BI dashboard , report , KPI scorecard and transforming the manual reports, support Power BI dashboard deployment.
  • Strong exposure to Visualization , transformation, data analysis and formatting skills.
  • Connecting to data sources, importing data and transforming data for Business Intelligence.
  • Experience in publishing and scheduling Power BI reports
  • Architect and develop data models, ETL packages, OLAP cubes, and reports utilizing Power BI applying best practices to the development lifecycle.
  • Documentation of source-to-target mappings, data dictionaries, and database design.
  • Support business development efforts.
Azure Infra Engineer
  • Design , develop and build Azure Infrastructure and define solutions to monitor various services on Azure .
  • Perform day to day troubleshooting and administering of Azure Services: App Service, Azure SQL, Blob Storage, Key Vault, ExpressRoute, Virtual machines, Virtual Networks.
  • Design and Develop Azure Security Centre and Azure Monitor: Network, Application, Infrastructure.
  • Perform Azure Migrations, migrating on-premises solutions to the cloud using Azure Migrate (or other) tools.
Power Apps Engineer
  • Should have working experience in designing / configuring applications using Power Apps, Power Automate
  • Design and develop Office 365 applications and solutions (Power Automate (Flow), Power Apps, Power BI, Dynamics 365, SharePoint Online)
  • Analyze the business requirements by collaborating with the stakeholders and IT Management, studying systems flow, data usage, and work processes
  • Supporting the technical design process by participating in the analysis of technical application requirements Design, build, test, debug, and document software to meet the business process and application requirements Develop, maintain, and support programs tools for internal and external clients
Logic Apps/Integration Engineer
  • Desigining and  developing Azure integrations using service like logic apps, integration account, azure function, service bus, event grid, API Management Desigining and  developing API Mediation and Management Experience in handling data formats, like JSON, XML and primitives Also data standards likeX12,EDIFACT, HL7 And Communication Protocol Connectors HTTP, SFTP, AS2, etc
  • Desigining and  developing Azure functions with Python/C#/JavaScript
  • Supporting the technical design process by participating in the analysis of technical application requirements Design, build, test, debug, and document software to meet the business process and application requirements Develop, maintain, and support programs tools for internal and external clients

Drive digital transformation in our customer organizations with next-generation Machine learning, Artificial Intelligence, Analytics methodologies, and big data technologies.

Features

1

Our core competency

  • We bring best-in-class technologies and methodologies to the problem at hand.
  • We build scalable and extensible artificial intelligence and machine learning architectures built for modern cloud stacks.
  • We build quick prototypes to see if something is possible.
  • We follow a research-based approach to developing new algorithms- a combination of automatic learning models and handcrafted customized algorithms
2

Key differentiators

  • Customizable solution accelerators – Intelligent Search and Document Data Extractor
  • A quality-conscious and highly motivated workforce
  • Proven methodologies and domain expertise
  • Faster time to value
3

Natural Language Understanding (NLU)

Wissen has a proven track record in delivering best-in-class NLU solutions across a broad range of application areas. Our custom-built modular NLU pipelines combined with our expertise in machine learning with data engineering technologies help deal with and unlock value from a staggering amount of unstructured data, thereby driving efficiencies and business value. Our NLP engine is supplemented with contextualization and knowledge graphs to deliver the precision needed for enterprise-scale specific tasks.

4

Cognitive automation

Wissen’s unique cognitive automation capabilities bring speed, accuracy, and cost-effectiveness that the human workforce can’t provide. Powered by optimized pattern matching and advanced Machine Learning techniques, our Data Extractor solution automates manual-driven and time-consuming document-based workflows with high accuracy, scale, and greater efficiency.

5

OCR and image processing

Our OCR pipeline processes images are far more unconstrained in terms of orientation, skew, folds, low resolution, and uneven lighting, with improved recognition accuracy. Applications range from document image analysis to bill processing, and data extraction from images. Novel methods are developed to achieve enhancements to improve the accuracy of OCR. These methods are central to achieving high-performing search and information extraction tasks.

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