Azure AI Engineer

Who are we

Fulcrum Digital is an agile and next-generation digital accelerating company providing digital transformation and technology services right from ideation to implementation. These services have applicability across a variety of industries, including banking & financial services, insurance, retail, higher education, food, healthcare, and manufacturing.

 Job Summary:

We are seeking a skilled and innovative Azure AI Engineer to design, build, and deploy intelligent applications and solutions using Microsoft Azure AI services. The ideal candidate will have a strong background in machine learning, natural language processing, and cloud-native architectures, with a focus on leveraging Azure’s AI and Machine Learning capabilities to solve real-world problems.

Key Responsibilities:

• Design and develop AI solutions using Azure Cognitive Services, Azure Machine Learning, Azure OpenAI, and other Azure-based tools.
  
• Implement and deploy machine learning models, NLP models, and computer vision solutions in a scalable and secure Azure environment.
  
• Collaborate with data scientists, software developers, and DevOps teams to integrate AI services into applications and business workflows.
  
• Monitor, evaluate, and improve model performance using tools like Azure ML, MLflow, and responsible AI dashboards.
  
• Ensure solutions comply with data privacy, ethical AI, and security standards.
  
• Automate and optimize ML pipelines using Azure ML Pipelines and DevOps integration.
  
• Stay updated on new Azure AI features and best practices, and recommend improvements.
  

Requirements

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
  
• 3+ years of hands-on experience with Microsoft Azure, especially in AI/ML services.
  
• Proficiency in Python, Azure SDKs, and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  
• Experience with Azure Machine Learning Studio, Data Factory, Blob Storage, and Azure Functions.
  
• Familiarity with REST APIs, containers (Docker), and CI/CD pipelines.
  
• Strong understanding of data preprocessing, feature engineering, model deployment, and monitoring.
  

Preferred Qualifications:

• Azure AI Engineer Associate or Microsoft Certified: Azure Solutions Architect certification.
  
• Experience with Azure OpenAI, ChatGPT, or large language models.
  
• Exposure to Responsible AI principles and tools.
  
• Knowledge of MLOps, model versioning, and A/B testing in production environments.
  

Benefits

·       Work with stakeholders to identify automation opportunities and tailor solutions to business needs.
·       Perform data preprocessing, feature engineering, and model training to create high-performing solutions.
·       Experience with data analysis tools and techniques to uncover insights and optimize models.
·       Microsoft Azure AI certification will be Big Plus