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Full Stack AI / ML Engineer – Azure & Microsoft Fabric

Full Stack AI / ML Engineer – Azure & Microsoft Fabric

TRDFIN Support Services Pvt LtdNoida, Uttar Pradesh, India
15 hours ago
Job description

Job Title : Full Stack AI / ML Engineer – Azure & Microsoft Fabric

Location : Noida

Experience : 7+ years

Budget : 25-30LPA

Employment Type : Full-Time

Key Responsibilities

  • AI / ML & Data Science
  • Design, develop, and deploy machine learning models using Python, Azure AI Studio, Prompt Engineering, and ML frameworks.
  • Perform data preparation, feature engineering, and model evaluation.
  • Integrate ML models into enterprise applications and workflows.
  • Data Pipeline & Transformation
  • Build and optimize data pipelines in Microsoft Fabric for ingestion, transformation, and semantic modeling.
  • Ensure data standardization, quality, and availability for analytics and applications.
  • Full Stack & Software Development
  • Develop scalable applications using C#, .NET, and modern frontend frameworks.
  • Build and integrate REST APIs for data and AI-powered applications.
  • Apply software engineering best practices (CI / CD, testing, DevOps).
  • Cloud & Platform Engineering
  • Deploy solutions on Microsoft Azure (Azure Functions, Data Lake, App Services, AI Studio) and OpenAI LLM Models
  • Ensure solutions meet enterprise standards for security, performance, and compliance.
  • Collaborate across teams (data scientists, engineers, business stakeholders) to deliver end-to-end solutions.

Technical Skills :

  • Proficiency in Python for ML, data science, and pipelines.
  • Strong development experience in C#, .NET, and API integration.
  • Hands-on experience with Microsoft Fabric for data pipeline & transformation.
  • Familiarity with Azure AI Studio and Azure services for deployment.
  • SQL knowledge for data modeling and semantic views.
  • Exposure to modern frontend frameworks (React, Angular, or Blazor) is a plus.

    • Experience :

  • 3–7 years of professional experience in software engineering, data engineering, or AI / ML development.
  • Proven track record of integrating AI / ML capabilities into enterprise applications.
  • Experience with cloud platforms (preferably Microsoft Azure).

    • Soft Skills :

  • Strong analytical and problem-solving abilities.
  • Ability to collaborate across multidisciplinary teams.
  • Excellent communication and documentation skills.

    • The ideal candidate is equally comfortable working with data pipelines and ML models as with application development and system integration, bridging the gap between data science and software engineering.

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