Principle ML Engineer Vertex AI GCP Kubeflow CICD Python BigData
Posted on :
09-06-2024
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Job Description
Position: Principle ML Engineer (Vertex AI GCP Kubeflow CI/CD Python BigData)
Location: 100% Remote (EST)
Duration: 12 Months Contract
Interview: Video
Must Have: Strong ML RAG LLM GenAI Vertex AI GCP Kubeflow CI/CD Python BigData
Job Description:
Example Projects:
About You:
- University or advanced degree in engineering computer science mathematics or a related field
- 7 years experience developing and deploying machine learning systems into production and independent contributor.
- Comfortable with Python ecosystem Visual Studio Code Jupyter Notebook.
- Experience working with big data tools: Hadoop Spark Kafka etc.
- Experience with at least one cloud provider solution (AWS GCP) and understanding of serverless code development (GCP preferred)
- Experience with objectoriented/object function scripting languages: Python Java C Scala etc. (Python preferred)
- CI/CD expert. And can work on GitHub actions harness Jenkins
- Can work with Google Big Query or similar warehouse.
- Work on Kubeflow pipelines independently and propose standards.
- Knowledge of Feature Engineering Feature Store and audit capabilities.
- Expertise in standard software engineering methodology e.g. unit testing test automation continuous integration code reviews design documentation
- Working experience with native ML orchestration systems such as Kubeflow Step Functions MLflow Airflow TFX.
- Relevant working experience with Docker and Kubernetes is a big plus
Employment Type
Remote
Company Industry
Key Skills
- Enterprise Software
- SAP Warehouse Management
- AWS
- Solution Architecture
- SAP EWM
- SAP Finance & Controlling
- SAP Supply Chain Management
- SAP S/4HANA
- Enterprise Sales
- Pre-sales
- Management Consulting
- Oracle
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