AI NLU Engineer

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Toronto, ON

Department:

IT

Posted:

7/26/2021

Type:

Permanent

Title: AI NLU Engineer
Job ID: AB131587723

Our client is a rapidly growing conversational AI company who builds a SaaS product and offers consulting services geared at the Pharmaceutical and Biotech sectors. They're Technical team is scaling up quickly and they're hiring a AI/NLU Engineer:

What you will be doing:
  • Productionalizing AI / NLP/ NLU / NLG Machine Learning models and frameworks powering Conversational AI and related applications and products
  • Designing, developing, documenting, and deploying AI / NLU / NLP / NLG Machine Learning Training, Validation, and other APIs and pipelines
  • Designing, Developing, documenting, and deploying AI / NLU / NLP / NLG Machine Learning Inference APIs
  • Providing production escalation support for the AI / NLU / NLP / NLG Machine Learning APIs and pipelines
  • Assisting QE team in developing and deploying AI / NLU / NLP / NLG Machine Learning testing and test automation frameworks
  • Work with end-users and QE team to ensure NLU/ML features successfully pass UAT and deployed to production
  • Develop BI reports and dashboards
  • Ensuring all solutions are documented according to requirements and standards
  • Ensuring all solutions follow the security by design principles and security best practices
  • Following Scaled Agile processes and using Scaled Agile tools - Jira, Confluence, Bitbucket
  • Following approved code branching strategy and code review and deployment procedures 
  • Ensuring understanding of the core components of the  Conversational AI platform 
  • Applying customizations in support of the Professional Services Client initiatives - onboarding, maintenance, and others
  • Managing code and component deployments in GCP
  • Working with  API Management Platform (Apigee)
  • Perform other duties as assigned.
What you need to have:
  • Bachelors, Masters, or Doctorate degree in Software Engineering, AI, BI/Data Management or related fields
  • 5+ years of Production experience designing, developing, and deploying Big Data ETL pipelines
  • 3+ years of Production experience designing, developing, and deploying AI / NLU / NPL / NLG training, validation, and inference Machine Learning pipelines and APIs
  • 5+ years of Python Production development experience
  • 5+ years of Node.js APIs and data pipelines production development experience 
  • 5+ years of Production experience developing cloud native applications, pipelines, and APIs - GCP (preferred) or AWS/Azure 
  • 5+ years of Production experience developing and tuning applications with SQL and no-SQL databases 
  • 5+ years of BI experience, working knowledge of BI concepts and BI data modelling best practices. 
  • 3+ years of experience developing BI reports and dashboards using a BI tool: Google Data Studio / Looker (preferred) or equivalent
  • Production experience developing and tuning applications with Elastic stack (ElasticSearch) backend
  • 3+ years of Production experience with API Management Platforms - Apigee (preferred) or equivalent
  • 5+ years of production experience working in agile environment and using Jira, Confluence, and Bitbucket or equivalent tools
  • Experience developing highly scalable Big Data / Machine Learning APIs and pipelines
  • Experience developing highly secured  Big Data / Machine Learning APIs
  • Experience working in regulated environments and industries and handling PII / PHI and other sensitive data
  • Information security and Cybersecurity background and experience
  • Excellent presentation and communication skills 
It would be nice if also had:
  • Production experience building, fine-tuning, and deploying   AI / NLU / NPL / NLG Machine Learning models
  • GCP Firebase/ Firestore
  • Medical, Healthcare, or Life Sciences background and experience would be a great asset

For more information about TEEMA and to consider other career opportunities, please visit our website at www.teemagroup.com

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