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8 WhiteBlue Cloud Services Jobs

AI Engineer

2-4 years

Ahmedabad

1 vacancy

AI Engineer

WhiteBlue Cloud Services

posted 26d ago

Job Description

  • AI Solution Development: Design, develop, and implement AI and machine learning models using Microsoft Azure Machine Learning, Cognitive Services, and related tools.
  • Data Processing: Work with Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake to preprocess and manage large datasets.
  • Model Training & Optimization: Train and fine-tune machine learning models in Azure Machine Learning Studio and optimize their performance for deployment.
  • Integration & Deployment: Deploy AI solutions using Azure Kubernetes Service (AKS), Azure Functions, and other Microsoft cloud-native services.
  • Research & Innovation: Explore new AI capabilities within the Microsoft platform and recommend their application to meet evolving business needs.
  • Testing & Validation: Validate AI models using Azure DevOps for MLOps pipelines, ensuring accuracy, reliability, and scalability.
  • Collaboration: Work with product managers, data engineers, and stakeholders to integrate AI/ML models into enterprise systems and applications.
  • Performance Monitoring: Use tools like Application Insights and Azure Monitor to track the performance of AI models in production.
Required Skills
  • Proficiency with Azure AI services, including Azure Machine Learning, Cognitive Services, and Bot Framework.
  • Strong programming skills in Python, R, or C# for AI and data processing.
  • Hands-on experience with Power BI for AI-driven data visualization.
  • Knowledge of Azure Databricks for big data processing and AI development.
  • Experience with Azure DevOps and MLOps for AI model lifecycle management.
  • Familiarity with integrating AI solutions into Microsoft Power Platform (eg, Power Apps, Power Automate).
Preferred Skills
  • Experience in Natural Language Processing (NLP) using Azure Language Understanding (LUIS) or Azure OpenAI Service.
  • Knowledge of deploying chatbots with Microsoft Bot Framework and Azure Bot Services.
  • Expertise in Azure Cognitive Search for intelligent information retrieval.
  • Familiarity with managing and securing AI solutions using Azure Active Directory and Azure Key Vault.
  • Understanding of Microsoft Dynamics 365 AI solutions for business applications

Employment Type: Full Time, Permanent

Read full job description

Prepare for AI Engineer roles with real interview advice

Top WhiteBlue Cloud Services AI Engineer Interview Questions

Q1. How do you deploy a load balancer to your Kubernetes Cluster?
Q2. How is storage allocation and management done on an on-prem Kubernetes deployment?
Q3. How to create a Docker file? What are the contents of the Docker file?
View all 8 questions

What people at WhiteBlue Cloud Services are saying

What WhiteBlue Cloud Services employees are saying about work life

based on 12 employees
78%
100%
86%
100%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

WhiteBlue Cloud Services Benefits

Submitted by Company
Health Insurance
Flexible Work Timings
Submitted by Employees
Free Transport
Child care
Gymnasium
Cafeteria
Work From Home
Free Food +6 more
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