Associate AI - Data Scientist / ML Engineer (Azure)
Tasks
- Build, train, and deploy machine learning models
- Collaborate with data engineers on data ingestion and transformation
- Deploy and operationalize models on Azure
- Design machine learning models
- Design scalable data and ML pipelines
- Develop AI-assisted marketing solutions
- Develop business analytics solutions
- Ensure data quality, security, and governance
- Evaluate emerging machine learning tools and frameworks
- Implement CI/CD and MLOps workflows
- Integrate ML solutions into business applications
- Mentor junior engineers and data scientists
- Monitor model performance and data drift
- Retrain models to maintain accuracy
Perks/Benefits
- Dental insurance
- Disability insurance
- Employee assistance program
- Life insurance
- Medical insurance
- Paid time off
- Retirement plan
- Vision insurance
Skills/Tech-stack
Azure Container | Azure Container Instances | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Databricks | Azure DevOps | Azure Functions | Azure Kubernetes | Azure Kubernetes Service | Azure Machine Learning | Azure Synapse | Azure Synapse Analytics | CI/CD | Clustering | Computer Vision | Container Instances | Data Drift | Data Factory | Data Lake Storage | Data Preprocessing | Data drift monitoring | Decision Trees | Deep Neural Networks | Drift monitoring | Feature Engineering | GitHub Actions | Gradient boosting | Hyperparameter Tuning | Kubernetes Service | Language Processing | Linear Regression | Logistic Regression | MLOps | Machine Learning | Model Performance Monitoring | Model performance | Natural Language | Natural Language Processing | Naïve Bayes | Neural Networks | Performance Monitoring | Predictive Analytics | Random Forest | Recommendation Systems | Segmentation | Support Vector Machines | Synapse Analytics | Vector machines
Education
N/A
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