Azure AI Engineer
Azure AI Engineer
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Job Description
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
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
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. Requirements 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
Employment Type
Full Time
