Machine Learning Engineer
Tasks
- Build and deploy AI agents
- Communicate technical results to stakeholders
- Containerize and orchestrate model services
- Create reproducible versioned documentation
- Deploy machine learning models to production
- Develop machine learning models
- Evaluate and monitor AI agents
- Monitor model performance and detect drift
- Perform data analysis and feature engineering
- Run A B testing for model impact
- Select models and optimize performance
- Serve models via API deployment
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | API deployment | Airflow | Apache Spark | Azure Kubernetes | Azure Kubernetes Service | B testing | DBT | Data Drift | Data drift monitoring | Databricks | Drift monitoring | Event Driven | Event-driven architecture | FastAPI | Kubernetes | Kubernetes Service | Langgraph | MLflow | Microservices | Power BI | PySpark | PyTorch | Python | RAG | Scikit-learn | TensorFlow
Education
Regions
Countries
States
Cities
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