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AZURE
4.4
based on 18 Reviews
Company Overview
Company Locations
Working at AZURE
Company Summary
Overall Rating
4.4/5
based on 18 reviews
19% above
industry average
Highly rated for
Job security, Work satisfaction, Company culture
Work Policy
Rotational Shift
28% employees reported
Flexible timing
54% employees reported
No travel
55% employees reported
Day shift
100% employees reported
View detailed work policy
Top Employees Benefits
Office cab/shuttle
1 employee reported
Job/Soft skill training
1 employee reported
View detailed benefits
About AZURE
Founded in--
India Employee Count--
Global Employee Count11-50
HeadquartersBeijing, China
Office Locations
--
Websiteazure-international.com
Primary Industry
Other Industries
--
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AZURE Ratings
based on 18 reviews
Overall Rating
4.4/5
How AmbitionBox ratings work?
5
9
4
4
3
4
2
1
1
0
Category Ratings
4.5
Job security
4.1
Work satisfaction
4.0
Company culture
4.0
Salary
4.0
Work-life balance
4.0
Skill development
3.7
Promotions
AZURE is rated 4.4 out of 5 stars on AmbitionBox, based on 18 company reviews. This rating reflects a generally positive employee experience, indicating satisfaction with the company’s work culture, benefits, and career growth opportunities. AmbitionBox gathers authentic employee reviews and ratings, making it a trusted platform for job seekers and employees in India.
Read more
AZURE Reviews
Compare AZURE with Similar Companies
Change Company | Change Company | Change Company | ||
|---|---|---|---|---|
Overall Rating | 4.4/5 based on 18 reviews | 3.7/5 based on 5.3k reviews | 4.0/5 based on 22.3k reviews | 4.0/5 based on 752 reviews |
Highly Rated for | Job security Work satisfaction Skill development | Work-life balance Job security | Work-life balance Skill development Job security | Salary Skill development Company culture |
Critically Rated for | No critically rated category | Promotions Salary | Promotions | No critically rated category |
Primary Work Policy | - | Hybrid 70% employees reported | Hybrid 80% employees reported | Permanent work from home 38% employees reported |
Rating by Women Employees | 4.3 Good rated by 4 women | 3.8 Good rated by 1.2k women | 4.0 Good rated by 7k women | 4.1 Good rated by 214 women |
Rating by Men Employees | 4.4 Good rated by 11 men | 3.7 Good rated by 3.7k men | 4.0 Good rated by 14.1k men | 3.9 Good rated by 484 men |
Job security | 4.5 Good | 3.9 Good | 4.0 Good | 3.4 Average |
View more
AZURE Salaries
AZURE salaries have received with an average score of 4.0 out of 5 by 18 employees.
Data Engineer
(5 salaries)
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â‚ą4.5 L/yr - â‚ą12 L/yr
Project Engineer
(4 salaries)
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â‚ą4.2 L/yr - â‚ą8.3 L/yr
Account Assistant
(4 salaries)
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â‚ą2 L/yr - â‚ą2.5 L/yr
Dcdp
(3 salaries)
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â‚ą2.2 L/yr - â‚ą2.8 L/yr
Technical Lead
(3 salaries)
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â‚ą18.5 L/yr - â‚ą32.4 L/yr
Software Engineer
(3 salaries)
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â‚ą3.3 L/yr - â‚ą4.5 L/yr
Call Center Executive
(3 salaries)
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â‚ą1.2 L/yr - â‚ą3 L/yr
Textile Designer
(3 salaries)
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â‚ą5.4 L/yr - â‚ą6.9 L/yr
Java Developer
(2 salaries)
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â‚ą2.9 L/yr - â‚ą3.7 L/yr
Commis Chef 1
(2 salaries)
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â‚ą2.2 L/yr - â‚ą2.8 L/yr
AZURE News
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Why Moving from US Cloud to EU Cloud is Still a Big Question:
- The debate between US-based hyperscalers and EU-based cloud providers has intensified as businesses rely more on cloud computing.
- Challenges in transitioning from US cloud giants to European providers include scalability, availability, and service range.
- US hyperscalers like AWS, Google Cloud, and Azure dominate the market due to their extensive infrastructure and service offerings.
- EU cloud providers, such as Scaleway, UpCloud, Hetzner, and OVH, cater more to regional markets and face limitations in scale and breadth of services.
- The shift to EU cloud providers is hindered by issues with scalability, redundancy, service offerings, and competition with mid-tier providers like DigitalOcean.
- Concerns such as data sovereignty, compliance, and reliance on US hyperscalers persist, making large-scale migration to EU clouds rare.
- Companies often choose to stay with US hyperscalers due to strong business incentives, high migration costs, and the lack of enterprise-grade features in EU clouds.
- However, certain businesses focusing on privacy, public sector organizations, and those adopting hybrid cloud strategies may opt for EU-based cloud services for specific needs.
- EU cloud providers may find more success targeting companies still running on-site infrastructure, offering benefits like easier migration processes and compliance.
- While EU cloud providers are evolving, they still lag behind US hyperscalers in terms of scalability, service diversity, and global infrastructure.
- Ultimately, using a hybrid cloud model combining EU cloud services for compliance and US hyperscalers for advanced capabilities is a pragmatic strategy until EU providers bridge the innovation and availability gaps.
Dev | 19 Mar, 2025
Lawful Owners or Private Licensing Cartels? The Latest Development in the S.33 v. S.30 Saga
- The Delhi High Court granted an interim injunction to PPL against Azure, restraining the latter from playing PPL’s sound recordings in their restaurants.
- Anushka Dhankar argues that the judgement fails to engage with previous court interpretations on PPL's licensing ability.
- PPL filed a suit for copyright infringement against Azure for playing sound recordings without a license.
- Azure challenged the suit's maintainability based on previous legal actions by PPL.
- Azure argued that PPL, not being a registered copyright society, cannot license out recordings.
- The dispute revolves around Sections 30 (issuing licenses) and 33 (registration of copyright society) of the Copyright Act.
- The interpretation clash between S.30 and S.33 raised contradictions regarding licensing by private entities like PPL.
- The Single Judge bench upheld the view that Section 33 applies when a copyright owner becomes a member of a society.
- The order cited previous cases but lacked detailed engagement with relevant precedents.
- The argument surrounding the interpretation of "business" in S.33(1) remains unresolved.
Spicyip | 17 Mar, 2025
Future AI Deployment: Automating Full Lifecycle Management with Rollback Strategies and Cloud Migration
- As AI adoption rises, organizations seek efficient deployment, management, and scaling strategies for AI models, including AI observability for performance tracking.
- A comprehensive AI-powered workflow with rollback integration ensures seamless deployment and proactive issue management.
- The lifecycle includes model training, automated deployment with rollback support, proactive monitoring, anomaly detection, intelligent rollback strategy, and continuous improvement pipelines.
- Different AI model types like Generative AI, Deep Learning, Traditional ML, and Reinforcement Learning pose unique challenges in deployment.
- Strategies vary from implementing prompt engineering for Generative AI to checkpoint-based rollbacks for Deep Learning models.
- Robust rollback processes involving fallback models, AI-driven triggers, and Kubernetes integration ensure stability during performance degradation.
- Peak traffic readiness requires load testing, circuit breakers, chaos engineering, and caching strategies for improved system resilience.
- Cloud migration strategies emphasize data synchronization, hybrid cloud approaches, migration rollback plans, data security, and cloud-specific model optimizations.
- Tools like Azure Migrate, AWS Application Migration Service, and Google Cloud Migrate facilitate seamless cloud migration planning and execution.
- By combining observability tools, intelligent rollback automation, and structured cloud migration, organizations can efficiently manage AI deployment lifecycles.
Dev | 15 Mar, 2025
Azure Databricks Pricing
- Azure Databricks is a cloud-based data analytics platform on Apache Spark, providing a secure collaborative workspace for data processing, ML, and visualization.
- Pricing is based on chosen VMs and Databricks Units (DBUs), with costs varying by usage and VM type.
- Azure Databricks follows different pricing models like Pay-As-You-Go and DBU Model, charged per second of usage.
- Pricing tiers include Standard and Premium with varying features like Apache Spark, Delta, interactive clusters, and more.
- Factors affecting costs include processing, storage, network resources, DBU usage, and complexity of tasks.
- Turbo360 offers cost analysis tools for optimizing Azure Databricks expenses, providing insights and alerts on cost spikes.
- Databricks cost optimization strategies include cluster autoscaling, auto-termination, and selecting cost-efficient VM instances.
- Discount options for Azure Databricks include pre-purchasing commit units for 1-3 years, with discounts applicable to DBU usage.
- Comparison with Snowflake shows Databricks is generally priced higher, with costs influenced by computational power and unique pricing variables.
- Maintaining a budget and optimizing costs with tools like Turbo360 are vital for organizational success in managing Azure Databricks expenses.
Serverless360Â |Â 13 Mar, 2025
From Startups to Enterprises: Tech Solutions for Every Stage
- No matter where you are in your business journey, technology can be a game-changer, helping streamline operations and boost productivity.
- In the early stages, startups benefit from affordable and easy-to-use cloud-based tools like Google Workspace and project management tools such as Trello.
- Efficient communication tools like Slack and Microsoft Teams are essential for keeping small teams connected and organized.
- Basic financial software like QuickBooks or FreshBooks helps startups manage finances without complexity.
- As a business expands, investing in CRM systems like Salesforce and marketing automation tools like Mailchimp becomes crucial for managing customer relationships and scaling marketing efforts.
- E-commerce solutions such as Shopify and WooCommerce are essential for online businesses to efficiently manage inventory and process payments as the customer base grows.
- For enterprises, integrating ERP solutions like SAP and business intelligence tools such as Tableau is essential for streamlining operations and making data-driven decisions.
- Cybersecurity solutions like Norton and McAfee are vital to protect against cyber threats and safeguard sensitive customer data as businesses grow.
- AI, ML, and RPA tools help enterprises automate tasks, enhance customer service, and optimize operations for innovation and growth.
- Cloud transformation with platforms like AWS and Azure allows enterprises to scale their computing power and storage, fostering agility and innovation.
Entrepreneurshiplife | 12 Mar, 2025
3 Python Libraries + Tips for Enhancing OCR Accuracy in LLM APIs
- Generative AI has enhanced OCR capabilities, but data preprocessing plays a key role in ensuring accuracy.
- OCR powered by generative AI offers better text extraction from images with complex layouts and handwritten text.
- Data preprocessing techniques using Python libraries are essential for improving OCR performance.
- Using Python's Pillow library, automatic image trimming helps focus OCR on essential text areas.
- Converting images into Markdown using generative AI post-trimming can improve accuracy.
- Adjusting image contrast with OpenCV in Python can enhance readability for better OCR results.
- The pytesseract library in Python facilitates text extraction from images, aiding in OCR accuracy.
- Combining open-source OCR tools like pytesseract with generative AI can reduce numerical errors and improve accuracy.
- Leveraging OCR services like Azure Vision AI can supplement text extraction, enhancing accuracy.
- By combining generative AI with OCR tools, specific information can be extracted with higher accuracy.
- Python libraries and cloud services can be effectively utilized to integrate OCR with generative AI in real-world applications.
Dev | 12 Mar, 2025
All Data and AI Weekly #180 - 10-March-2025
- The latest issue of AI, Data and AI Weekly highlights various topics including NiFi, Iceberg, Polaris, Streamlit, Flink, Kafka, Python, Java, and SQL in the context of data and AI.
- It also includes links to several cool stuff, new models, and upcoming events related to Snowflake, as well as recent projects and technologies, such as RAG, Python, Java, Snowflake, and Streamlit.
- The newsletter also provides substantial information about Tim Spann's talks, demos, and projects, including AIM Ghosts, Advanced RAG Techniques, and more.
- The technologies highlighted in the newsletter include Python, Java, Snowflake, Streamlit, AWS, Google Cloud, and Azure.
Dev | 11 Mar, 2025
Have You Heard About Cloud Native Buildpacks?
- Cloud Native Buildpacks offer an efficient way to package applications into OCI images without the need for Dockerfiles, saving time and preventing errors.
- By automatically applying best practices for different languages and frameworks, Cloud Native Buildpacks ensure secure and high-performance applications.
- Builders like Heroku's support a range of buildpacks for languages such as .NET, Go, Java, Node.js, PHP, Python, Ruby, and Scala.
- The Cloud Native Buildpack ecosystem is expanding, offering flexibility and standardization across various cloud platforms.
- Users familiar with Heroku's buildpack experience will find Cloud Native Buildpacks to be a seamless transition to a standardized, vendor-agnostic solution.
- Cloud Native Buildpacks simplify application deployment by adhering to best practices without the complexity of Dockerfiles.
- Ideal use cases for Cloud Native Buildpacks include Node.js web apps, Python microservices, multi-language applications, and deployments on cloud platforms like AWS, Azure, and Heroku.
- While buildpacks are declarative, offering ease of use, Dockerfiles provide more configurability for advanced use cases.
- Users can easily switch between Cloud Native Buildpacks and Dockerfiles for customization without vendor lock-in.
- To use Cloud Native Buildpacks, developers can start by installing the Pack CLI tool and building applications with the recommended builder.
- With the ability to build apps like Next.js without Dockerfiles, Cloud Native Buildpacks offer a streamlined approach to container image creation.
Dzone | 10 Mar, 2025
Terraform 1.11 brings ephemeral values to managed resources with write-only arguments
- HashiCorp Terraform 1.11 is now available, featuring write-only arguments for managed resources.
- Write-only arguments allow the use of ephemeral values in specific resource arguments, enhancing security.
- Terraform 1.10 introduced ephemeral values for handling sensitive data, and 1.11 extends this to managed resources.
- With write-only arguments, values can only be written to and not read, adding an extra layer of security.
- By using write-only arguments, secrets like passwords can be securely passed to resources without being exposed in artifacts.
- Examples of write-only arguments are master_password_wo in AWS resources and administrator_password_wo in Azure resources.
- Upgrades to Terraform tests include new features like state_key attribute, mocked values during unit tests, and JUnit XML test reports.
- Users can download Terraform 1.11, sign up for HCP Terraform, and explore tutorials for upgrading RDS major versions.
- Partners like Juniper, Palo Alto Networks, and Fortinet are commended for adopting ephemeral values for enhanced security.
- The community's feedback and contributions played a vital role in shaping Terraform 1.11. Thanks to all contributors.
Hashicorp | 4 Mar, 2025
What are the ways to get authorized access to mlflow through Azure Active Directory?
- MLflow can integrate with Azure AD OAuth 2.0 for authentication.
- The steps to get authorized access include generating a Client Secret and assigning API Permissions.
- MLflow can also use Managed Identity for seamless authentication when running on Azure VMs, AKS, or App Service.
- If using MLflow Python client or Azure Machine Learning, authentication can be done using Azure AD tokens.
Medium | 1 Mar, 2025
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AZURE FAQs
Where is the AZURE headquarters located?
AZURE is headquartered in Beijing.
Does AZURE have good work-life balance?
AZURE has a work-life balance rating of 4.0 out of 5 based on 10+ employee reviews on AmbitionBox. 72% employees rated AZURE 4 or above on work-life balance. This rating reflects the company's efforts to help employees maintain a healthy balance between their personal and professional lives. We encourage you to read AZURE reviews for more details
Is AZURE good for career growth?
Career growth at AZURE is rated fairly well, with a promotions and appraisal rating of 3.7. 72% employees rated AZURE 4 or above, while 28% employees rated it 3 or below on promotions/appraisal. Though the sentiment is mixed for career growth, majority employees have rated it positively. We recommend reading AZURE reviews for more detailed insights.
What are the pros of working in AZURE?
Working at AZURE offers several advantages that make it an appealing place for employees. The company is highly rated for job security, work satisfaction and company culture, based on 10+ employee reviews on AmbitionBox.
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