Talent.com
Fullstack engineer with MLOps and Devops

Fullstack engineer with MLOps and Devops

eTeamRemote, ON
30+ days ago
Salary
CA$55.00–CA$60.00 hourly
Job type
  • Remote
Job description

We are looking for a skilled and innovative engineer to join our team in a multifaceted role focusing on Software Health Check (SHC), Machine Learning Operations (Client Ops), integrated AI-powered chatbots, Azure cloud services, , and DevOps practices. The ideal candidate will have a strong background in software engineering and experience in deploying and managing AI-driven chatbot solutions in Azure cloud environments. You will play a key role in ensuring the reliability, scalability, and performance of our chatbot systems while also optimizing our software development and deployment processes through DevOps methodologies.

Key Responsibilities :

Software Health Check (SHC) :

  • Develop and implement processes for monitoring, analyzing, and enhancing the health and performance of our software systems, including integrated chatbots.
  • Establish best practices and guidelines for SHC and ensure adherence across the organization.

Machine Learning Operations (Client Ops) :

  • Design and implement Client Ops pipelines for training, validation, deployment, and monitoring of chatbot models.
  • Work closely with data scientists and Client engineers to streamline the chatbot development lifecycle and ensure seamless integration of Client solutions into production environments.

    • Integrated AI-Powered Chatbots :

  • Develop and deploy AI-powered chatbots using natural language processing (NLP) and machine learning techniques.
  • Integrate chatbots into various channels and platforms (, websites, mobile apps, messaging platforms) to provide seamless user experiences.
  • Integrated AI-powered chatbots into compliance workflows to provide real-time guidance and support to employees on regulatory matters

    • Azure Cloud Services :

  • Utilize Azure cloud services for hosting, scaling, and managing chatbot applications and associated infrastructure.
  • Implement Azure cognitive services (, Azure Bot Service, Azure Machine Learning) for building and deploying intelligent chatbot solutions.
  • Build, design and implement high-volume, high-scale responsive web front ends, web APIs, solutions in the cloud

    • Development :

  • Develop and maintain user interfaces for chatbot applications using and related frontend technologies.
  • Stay updated on the latest trends and best practices in development and frontend engineering

    • DevOps :

  • Ensure high availability, fault tolerance, and scalability of chatbot systems through effective DevOps practices.
  • Monitor and troubleshoot production systems, responding to incidents and implementing proactive measures to prevent future issues

    • Required Skills and Qualifications :

    Minimum of years of experience in software engineering, with expertise in Client Ops, integrated chatbots, Azure cloud services, , and DevOps practices.

    Solid understanding of frontend development principles and experience with and related libraries / frameworks.

    Strong knowledge of machine learning concepts and frameworks, particularly for NLP tasks, and experience in deploying Client models in cloud environments.

    Excellent problem-solving skills and the ability to work effectively in cross-functional teams.