Data Engineer / ML Engineer
Tasks
- Build batch scoring pipelines
- Collaborate with data scientists backend engineers and product teams
- Deploy monitor and optimize machine learning models in production
- Design and build REST APIs for model serving
- Design feature engineering pipelines for machine learning
- Develop deploy and maintain model inference services
- Ensure performance reliability scalability and security of APIs and pipelines
- Integrate machine learning services with upstream and downstream systems
- Troubleshoot production issues
Perks/Benefits
- Innovative and collaborative work environment
- Professional growth and learning opportunities
- Recognition and reward programs
- Work-life balance
Skills/Tech-stack
API Authentication | AWS | Apache Spark | Azure | Azure Databricks | Batch Scoring | Cloud platform | Data Modeling | FastAPI | Feature Engineering | Flask | Google Cloud | Google Cloud Platform | Machine Learning | Model Deployment | Model Inference | Python | REST APIs | SQL | Testing | Version control
Education
N/A
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