Machine Learning Engineer
Tasks
- Build and deploy machine learning models
- Build and optimize cloud data architectures
- Design build and operate data lakes
- Design build and operate data pipelines
- Extract, transform, and load data from multiple sources
- Leverage AWS AI ML services for predictive insights
- Optimize RDBMS performance and reliability
- Optimize data ingestion, storage, and processing
- Process and retrieve data from streaming and IoT sources
- Secure customer data and meet compliance requirements
- Support data infrastructure for multiple teams
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Cassandra | Convolutional Neural Networks | Data Lakes | Data Pipelines | Deep learning | DynamoDB | EC2 | EMR | ETL | Elasticsearch | Hadoop | IoT | Jupyter Notebooks | Kafka | Kinesis | Language Processing | Machine Learning | Message queuing | Natural Language | Natural Language Processing | Neural Networks | NoSQL | Predictive Modeling | Python | RDBMS | RDS | Redshift | SQL | Spark | Stream processing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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