Python Developer

Front Door (Requirements, Metadata collection, classification & security clearance)
• Data pipeline design & development
• Design, develop, deploy, and maintain production-grade scalable data transformation, machine
learning and deep learning code, pipelines; manage data and model versioning, training, tuning,
serving, experiment and evaluation tracking
• Build and maintain tools and infrastructure for data processing for AIML development initiatives.

Skills
• Experience deploying machine learning models into production environment.
• Strong DevOps, Data Engineering and ML background with Cloud platforms
• Experience in containerization and orchestration (such as Docker, Kubernetes)
• Experience with ML training, Model Registry, ML model performance measurement using ML Ops
open source frameworks.
• Experience building operating systems for data extraction, ingestion, processing of large data sets
• Experience in Python scripting
• Experience with CI/CD
• Fluency in Python data tools e.g. Pandas, Dask, or Pyspark
• Experience working on large scale, distributed system.

If Interested,Please share your updated cv and share the below details at [Confidential Information]

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