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Chatbot Engineer

esure Group
Reigate
1 year ago
Applications closed

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Staff AI Agent Engineer (Machine Learning)

AI/ Machine Learning Engineer NLP / LLM – Contract

Senior Data Scientist - 12 month FTC

Senior Data Scientist - 12 month FTC

Senior Data Scientist - 12 month FTC

Machine Learning Engineer

Job Description

To be the domain expert in Chatbot engineering, driving and developing the technology and architecture and implementing market leading solutions that support esure's digital first mindset and creating a seamless and intuitive interface for our customers.

 

What will my role entail?

  • Take ownership for the design and implementation of AWS solutions that focus on customer experience and engagement. This will include chatbot design and development of that architecture.
  • Operate as the SME for Chatbot engineering solutions and work hand in hand with a wider squad to help problem solve when required.
  • Work as part of a larger squad and interact effectively with key internal partners in Data Science, Engineering, Operations and Technology.
  • Partner with AWS business development, sales and architecture teams to identify opportunities and solutions.
  • Operate as a Service Designer and a Software Engineer, with the customer experience in mind.
  • Stay up to date with AWS technology development and testing. Also to experiment with new AWS capability.
  • Using the latest AWS market knowledge, take a pro-active role in 2nd line support of applications and platform.
  • Act as the domain expert across the squad in your domain, coach and support others when required and ensure knowledge is shared across the wider team.

 


Qualifications

You are a good fit for the role if you have the following…

  • Proven record of using customer experience and engagement tools, preferably within the AWS and Amazon Connect ecosystem.
  • Experience with AWS services (eg. Amazon Comprehend, ContactLens, Lex, Rekognition, Textract, Translate, Transcribe), ideally in conjunction with customer experience and engagement.
  • Knowledge in voice systems, such as natural language chatbots, interactive voice response (IVR), and automated customer voice authentication.
  • Hands-on keyboard AWS implementation experience across a broad range of AWS Connect services.
  • Ability to develop AWS environments as code.
  • Cloud automaton tooling and scripting experience e.g. Terraform, Jenkins.
  • Awareness of security best practice pertinent to Amazon Connect and related systems
  • Use failure as opportunity and demonstrate the ability to learn quickly.

 

We’d also like to hear if you have…

  • Python experience and knowledge of LLMs a plus
  • Strong data skill, demonstrating a data centric approach and familiarity with data tools, such as Databrick, SQL etc



Additional Information

What’s in it for you:

  • Competitive salary reflecting your skills and potential.
  • Bonus scheme recognising your contributions.
  • 25 days annual leave plus 8 flexible days.
  • Flexible work options, including hybrid and part-time.*
  • Private Medical Insurance 
  • Career growth supported by training, mentoring, and resources!
  • Join networks to connect, learn, and share with colleagues.
  • Discounts on insurance products for you and family.
  • Support for a healthy lifestyle through various wellness programs.
  • Volunteer days and initiatives for a greener lifestyle.
  • Social recognition tool for colleague appreciation

 

*where available

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