Machine Learning Engineer (II and Senior)
Tasks
- Apply engineering practices to product ML teams
- Collaborate with MLOps teams on tool integration
- Develop and maintain production ML pipelines
- Identify and fix ML training and inference bottlenecks
- Integrate ML solutions into products and services
- Train, validate, and deploy machine learning models
- Transition research prototypes into scalable solutions
Perks/Benefits
Skills/Tech-stack
Airflow | Apache Spark | Argo Workflows | Docker | Grafana | Kubernetes | LightGBM | MLflow | Pandas | Prometheus | PyTorch | Python | SQL | TensorFlow | Trino | XGBoost
Education
N/A
Regions
Countries
States
Cities
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