Data Science & Engineering Lead
Tasks
- Architect data pipelines for batch and streaming
- Build ETL workflows
- Build cloud native data and AI infrastructure
- Create OLTP and OLAP data models
- Design and implement machine learning models
- Design lakehouse and data warehouse architectures
- Develop NLP solutions
- Develop computer vision solutions
- Develop data visualization and BI dashboards
- Develop deep learning systems
- Implement MLOps pipelines
- Mentor engineers and drive best practices
Perks/Benefits
Skills/Tech-stack
AWS | Airbyte | Airflow | Amazon QuickSight | Azure | Azure ML | Azure ML Studio | CloudFormation | Computer Vision | DBT | Data Governance | Data Quality | Databricks | Deep learning | Delta Lake | ETL | Hugging Face | IAM | Iceberg | Kafka | Kinesis | Lakehouse | Lambda | Langchain | ML Studio | MLOps | Machine Learning | NLP | NumPy | Pandas | Power BI | PyTorch | Python | SageMaker | Scikit-learn | Spark | Tableau | TensorFlow | Terraform | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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