Machine Learning Engineer
Tasks
- Analyze large datasets to identify patterns and trends
- Build scalable backend services and APIs
- Collaborate with customers and end users to iterate on solutions
- Create analytics pipelines
- Create user interfaces and dashboards
- Deploy AI ML models into production systems
- Develop and apply AI ML models for intelligence insights
- Implement and evaluate AI/ML models
Perks/Benefits
Skills/Tech-stack
API Development | AWS | Backend Development | Confluence | Dask | Data Pipelines | Data Visualization | Deep learning | Git | Hadoop | Jira | Machine Learning | Maintainability | MapReduce | Matplotlib | NumPy | Observability | Pandas | Performance optimization | PyTorch | Python | Scalable systems | Scikit-learn | Spark | Testing | Version control
Education
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