Machine Learning Engineer
Tasks
- Automate model training, testing, and deployment
- Build AI automation workflows with language models
- Collaborate with stakeholders on modeling objectives
- Design and train machine learning models
- Develop backend services and APIs for model serving
- Develop production machine learning pipelines
- Document model designs and data flows
- Evaluate and refine model performance
- Manage MLOps lifecycle
- Monitor models in production
- Optimize machine learning infrastructure
- Orchestrate machine learning workflows
- Write data quality validation workflows
Perks/Benefits
Skills/Tech-stack
Apache Airflow | CI/CD | Containerization | Docker | Experiment tracking | FastAPI | Feature Engineering | GraphQL | MLflow | Model Monitoring | Model versioning | Pandas | PostgreSQL | Python | REST | SQL | Scikit-learn | Snowflake | Spark
Education
Regions
Countries
States
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