
Senior Artificial Intelligence and Machine Learning Software Engineer
4 days ago
Are you looking for a challenging role that combines artificial intelligence and machine learning with software engineering?
We are seeking an experienced Machine Learning Engineer to join our team.
The ideal candidate will have a strong background in Python programming, particularly in scripting ML workflows and deploying ML pipelines in real-time, batch, or event-triggered environments.
Familiarity with AWS SageMaker is also essential, as well as experience in using Sagemaker pipelines, Sagemaker mlflow, and Sagemaker Feature Store.
In addition to ML frameworks like scikit-learn, PyTorch, xgboost, lightgbm, and mlflow, the successful candidate should have solid understanding of the ML lifecycle, including model development, training, validation, deployment, and monitoring.
A CI/CD pipeline expert with knowledge of bitbucket, Jenkins, Nexus, and AUTOSYS for scheduling is required.
Experience with ETL processes for ML pipelines using PySpark, Kafka, and AWS EMR Serverless is also highly valued.
While not necessary, experience with H2O.ai and containerization using Docker and orchestration using Kubernetes would be beneficial.
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