AI-ML Engineer (Azure)
Tasks
- Build Azure data pipelines and workflows
- Build secure data pipelines for NLP and ML workloads
- Collaborate with teams in Agile delivery
- Configure and monitor enterprise AI capabilities
- Create architecture artifacts test plans and operational runbooks
- Develop and deploy production AI ML solutions
- Ensure compliance with security and architecture standards
- Implement CI CD monitoring troubleshooting and performance tuning
- Implement data quality checks and validation
- Ingest transform and enrich datasets
Perks/Benefits
Skills/Tech-stack
Agile | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure DevOps | Azure Machine Learning | Azure SQL | Azure SQL Database | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Factory | Data Lake Storage Gen2 | GitHub | MLOps | Machine Learning | NumPy | Pandas | PyTorch | Python | SQL | SQL Database | Scikit-learn | Synapse Analytics | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Science
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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