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: Machine Learning Expertise at Remote, Remote, USA
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Vicky,

istaffx

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Machine Learning Expertise:

Understanding machine learning algorithms, neural networks, and deep learning frameworks (e.g., TensorFlow, Keras, PyTorch) is essential.

Knowledge of data preprocessing, feature engineering, and model evaluation is valuable 

MLops - serving and life cycle of model

Deployment

Data Architecture:
 Knowledge and ability to implement models, policies, rules and standards that govern how data is stored, arranged and integrated for business intelligence and analytic

Technical Skills - Data Movement & Transformation: 
Knowledge of tools, techniques, and processes to move (including extract, transform and load) an organization's electronic data, including

Ability to configure Azure Data Factory as an orchestration methodology for data movements

Understanding of integration runtimes and its use in data integration

Ability to leverage Databricks notebooks for transformations 

Expertise in Azure Data Lake storage and security configuration 

Expertise in Azure Data Warehouse Synapse, Azure Database, and Azure Analysis Services technologies including development of optimized stored procedures, indexes, views

Understanding of Logic Apps and Flows and its applicability in starting and stopping services 

Understanding of Kimball methodology for data warehouse lifecycle

Experience with coding in SQL and scripting languages such as Python

Analytical Thinking:
 Knowledge of techniques and tools that promote effective analysis and the ability to determine the root cause of organizational problems and create alternative solutions that resolve the problems in the best interest of the business.

Learning Agility:
 Rapidly acquires new knowledge and learns new skills; can work productively in uncertain environments where roles and work are not clearly defined; finds opportunities in ambiguity; can identify opportunities for change; embraces and adapts to change; leans on credible sources from outside own group

Keywords:
: Machine Learning Expertise
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Thu Jul 11 23:25:00 UTC 2024

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