Machine Learning Architect
Tasks
- Architect and implement ML applications in Azure
- Build end-to-end machine learning pipelines
- Communicate ML architectures to stakeholders
- Design scalable data driven ML solutions
- Gather technical and business requirements
- Implement MLOps and DevOps practices
- Integrate ML solutions with Azure cloud services
- Lead machine learning software development lifecycle
- Mentor team members
- Publish technical thought leadership
- Translate customer pain points into AI strategy
Perks/Benefits
- Comprehensive benefits for families
- Comprehensive training opportunities
- Flexible work schedule
- Recognition programs
Skills/Tech-stack
API Development | ARM Templates | Azure CLI | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Fabric | Azure Machine Learning | Azure SQL | Azure SQL Database | CI/CD | Computer Vision | Cosmos DB | Data Factory | Data Lake Storage | Databricks | Deep learning | Django REST | Django REST Framework | Docker | Domain-Driven Design | FastAPI | GitHub | GitHub Actions | Infrastructure as Code | Java | Kubernetes | Langchain | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | NumPy | Pandas | Powershell | PySpark | Python | REST Framework | Retrieval-Augmented Generation | SQL Database | Scala | Scikit-learn | Series forecasting | Supervised Learning | Terraform | Time Series | Time Series Forecasting | Unsupervised Learning | “as-code”
Education
N/A
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