Ds Aiml
Tasks
- Build analytics reports
- Build data ingestion pipelines
- Build data transformation pipelines
- Build feature engineering pipelines
- Build orchestration systems for ML models
- Build orchestration systems for data pipelines
- Collaborate on data preprocessing jobs
- Collaborate on feature engineering jobs
- Collaborate on post processing jobs
- Deliver analytics dashboards
- Deploy ML models
- Ensure compliance with policies
- Ensure training data quality
- Implement ML experimentation pipelines
- Implement model testing pipelines
- Implement security measures for ML development
- Manage AI ML model experimentation
- Manage model registry versioning
- Optimize ML models
- Optimize data pipelines
- Recommend AI framework improvements
- Support model inference pipelines
- Support model training pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Airflow | Apache Hadoop | Azure | BigQuery | CI/CD | Cloud Composer | Cloud platform | Data Ingestion | Data Preprocessing | Data Transformation | Docker | Druid | Feature Engineering | Git | Google Cloud | Google Cloud Platform | HDFS | Hive | Kubeflow | MLOps | MLflow | Machine Learning | MapReduce | Model Registry | Model versioning | PySpark | Python | SQL | Series forecasting | Spark | Time Series | Time Series Forecasting | Vertex AI
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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