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AI/ML Data Engineer (sagemaker)

Company: A2c It Consulting
Location: Dover
Posted on: January 16, 2022

Job Description:

OverviewExciting opportunity to become a contributing team member with a Banking Fintech provider. Ground floor Greenfield AI/ML opportunity
The Opportunity
The Environment

  • Global Fintech
  • AWS Platform

  • Role OverviewThese roles are part of putting in place a world class customer experience for a marquis brand . The team is leveraging cutting edge ML tools (Sagemaker) and blending it with leading popular voice automation platforms (Alexa). They are creating a unique investing/trading experience at the intersection of NLP (Natural Language Processing), AI/ML and data analysis tools.
    Core Skills Advise on SageMaker capabilities that map to the specific functional needs of our business clients Advise in developing specific example Notebooks and scripts that showcase the use of needed SageMaker capabilities, including but not limiting to, model life-cycle: model training, experiments and trials, pre-processing/model/post-processing pipelines, model debugging, model evaluation, batch transformations, model registry, model deployment, model monitoring, model updates and versioning, automating re-training, and SageMaker Clarify Advise in developing a working example of custom algorithm containers, with supporting documentation and best practices Advise in enhancing Vanguard's automated SageMaker environment provisioning and maintenance, including, among other things, Lex-based chatbot and Lambda functions for generation of and adjustments to AWS IAM roles (like SageMaker execution roles) and other related artifacts Advise in designing and implementing the approach how to deal with complex models that actually are an ensemble of many sub-models instead of a single model, including the model deployment approaches Advise in designing and implementing the approach for using SageMaker to perform back-testing of time series models Advise in enhancing Vanguard's SageMaker Model Deployment CI/CD Pipeline Guide and advice end-users on how to most efficiently use various SageMaker Studio UI capabilities to achieve common tasks Assist in determining whether SageMaker Feature Store could be put to use while addressing specific data governance requirements (related to strict control of who can use what data and how to do data access audits, etc.) Assist in capturing related documentation, including best practices, standards, etc. Assist in creation and troubleshooting of client-requested features, functions, and enablement Assist in enhancing Sage bot capabilities Assist in Sagemaker Studio capability enhancements --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Secondary Scope:
    • Assist Customer with Continuous Integration and Continuous Deployment (CI/CD) features and enhancements. AWS will:o Advise and assist on improving and optimizing the implementation of Customers artificial intelligence machine learning pipeline (AMP) workflow componentso Advise and assist on AMP pipeline monitoring capabilitieso Advise and assist to enhance Vanguards compliance requirements and controls built into the AMPo Implement Control mechanisms to keep Data Scientists work cost-effective without blocking themo Advise and assist on AMP enhancements and additional functionality such as A/B (split testing) testing and blue-green deploymentso Work with Customer in order to configure Customers chosen Amazon SageMaker featureso Support integration and/or transition to enterprise CI/CD solution, based on Customers stated requirementso Provide Customer with relevant documentation and knowledge transfer, as needed. Customers native containers in AMP will be considered out of scope for this engagement.
      • Data Mechanismso Assist Customer to develop best practices and design for implementing data ingestion, transformation and access leveraging methods including, but not limited to, event driven processingo Assist Customer to implement a Proof of Concept (PoC) of the solutions in Customers non-production environmento Assist Customer with the consolidation of training data metadata logs in a single location for a convenient holistic accesso Advise and assist on AWS general best practices for enhancing capabilities for monitoring for data drifto Advise and assist on AWS general best practices for enhancing data preprocessing and splitting and integration with pipeline o Advise and assist Customer on implementing best practices for Data Retention and Deletion prevention through mechanisms and tool provided by AWS such as MFA and Data versioningo Provide Customer with AWS general best practices for data management streamlining and security, per Customers stated requirementso Advise and assist on data lineage and traceability from the purview of model training using AMPo Complete documentation and knowledge transfer to Customers staff Artificial Intelligence and Machine Learning (AI/ML) Model Development Assistance
        • Assist Customer with the following activities in Customers non-production environment: o Building and training an ML model using Customers dataset to address a mutually agreed business use case using AWS ML tools such as Amazon SageMakero Augment and participate in project teams to develop and deploy models using AWS services with specific focus on reinforcement learning (RL), natural learning processing (NLP), and any other frameworks deemed appropriate for use caseso Implementing a strategy to integrate existing and new ML models into the appropriate build, train and deploy infrastructure (AMP / AMP hybrid until enterprise version is available)
          • oe Why This role???
            • Join an elite Big data analytics Team doing enterprise Data Analysis
            • Best of Breed Technology
            • Invaluable Experience with Big Databy Jobble

Keywords: A2c It Consulting, Wilmington , AI/ML Data Engineer (sagemaker), Engineering , Dover, Delaware

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