Job Closed
Azure Data & Machine Learning Engineer
- Source: LinkedIn
- Argyll Infotech Inc
- Hybrid
- Hyderabad
- Full-Time
- Mid level
Job Description
Location: Hyderabad
Job Type: Full-Time
Experience: 2–4 Years
Work Authorization: [Add Visa Requirements]
About the Role
We are looking for an Azure Data & Machine Learning Engineer with hands-on experience in Data Engineering, Machine Learning, Python, Azure, and MLOps .
The role involves building scalable data pipelines, preparing data for ML workloads, developing and deploying ML models, and managing ML workflows in production.
Key Responsibilities
- Build scalable data pipelines using Azure Data Factory, ADLS Gen2, and Synapse
- Develop ETL/ELT pipelines, data transformations, and feature engineering
- Develop and deploy ML models using Python and Azure Machine Learning
- Build ML training, deployment, monitoring, and retraining pipelines
- Implement model monitoring and drift detection
- Integrate ML models with enterprise applications
- Optimize data and ML pipelines for scalability and performance
Required Skills
- Azure Data Factory, ADLS Gen2, Azure Synapse
- Python and SQL
- Azure Machine Learning (AML)
- MLflow and MLOps
- ETL/ELT and Data Modeling
- Machine Learning & Model Deployment
- Git, Azure DevOps, CI/CD
- Docker
Preferred Skills
- Azure Databricks
- Apache Spark / PySpark
- Kubernetes
- Terraform / Bicep
- Scikit-Learn
- NLP / Generative AI
Skills
- microsoft-azure
- azure-machine-learning
- Python
- azure-data-factory
- azure-synapse
- drift
- microsoft-azure-synapse
- ml-flow
- mlflow
- azure-devops
- Docker
- azure-databricks
- databricks
- Spark
- pyspark
- Kubernetes
- Terraform
- Scikit-learn
This job is no longer accepting applications.
Join the Club — Free ForeverYou missed this one - but you don't have to keep missing out. Try Club members get matched with open opportunities before they're gone, so you're always first in line, never last.
