Job Title : Full Stack Client Engineers
Location : Charlotte, NC or Malvern, PA
Responsibilities :
- Integrate AI / Client models with multiple data sources : Ensure seamless data flow in and out of models.
- Fine-tune existing models : Optimize performance and adapt models to evolving requirements.
- Build and maintain data pipelines : Design and implement ETL processes to support model integration.
- Monitor and manage Client models in production : Implement MLOps practices for model monitoring, tracking, and maintenance.
- Collaborate with cross-functional teams : Work closely with data scientists, data engineers, and other stakeholders to deliver robust Client solutions.
- Drive architecture and engineering best practices : Lead efforts to establish and enforce best practices in building the integration framework.
Technical Skills :
- Proficiency in Python and SQL databases : Essential for data manipulation and integration tasks.
- Experience with AWS cloud services : Including but not limited to :
- SageMaker
- Lambda
- Glue
- CodeCommit
- CodePipeline
- Bedrock
- Experience with data pipeline and workflow management tools : Such as Apache Airflow or AWS Step Functions.
- Understanding of ETL techniques, data modeling, and data warehousing concepts : To build efficient data pipelines.
- Familiarity with AI / Client platforms and tools : Including TensorFlow, PyTorch, MLflow, and others.
- Knowledge of MLOps practices : Including model monitoring, data drift detection, and pipeline automation.
- Experience with Docker and AWS ECR : For containerization of Client applications.
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Job Title: Full Stack Client Engineers. Integrate AI/Client models with multiple data sources: Ensure seamless data flow in and out of models. Monitor and manage Client models in production: Implement MLOps practices for model monitoring, tracking, and maintenance. Collaborate with cross-functional ...
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