advanced technologies

Senior Gen AI Software Engineer - (Remote - Canada)

posted by: spj_bot

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Gen AI Software Engineer in Canada.

As a Senior Gen AI Software Engineer, you will be at the forefront of developing cutting-edge AI-powered solutions that transform business operations. This role focuses on designing and building intelligent agents to enhance core functions such as sales, customer success, and finance. You’ll work on leveraging advanced technologies like vision models, diffusion models, and retrieval-augmented generation (RAG) systems to drive product innovation and redefine how the business automates and optimizes workflows. The opportunity to experiment, mentor, and shape the future of AI in the ad tech industry will be integral to your role.

Accountabilities:

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MLOps Engineer - (Remote - India, Malta, UK)

posted by: spj_bot

About Jobgether

JJobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for an MLOps Engineer in India, Malta, and the United Kingdom.

In this role, you will be responsible for building and optimizing machine learning pipelines, ensuring the quality of data, automating model retraining and validation, and creating systems for monitoring models in production. The ideal candidate will bring a deep understanding of Python and MLOps principles, as well as an attention to detail and a thoughtful approach to problem-solving. You'll be working with advanced technologies to enhance model performance and contribute to the company’s ML operations.

Accountabilities:

  • Design and build ELT pipelines for efficient data processing and analysis.
  • Construct automated MLOps pipelines for continuous model retraining and validation.
  • Implement CI/CD pipelines to ensure smooth deployment of machine learning models and services.
  • Develop services to monitor the performance and health of machine learning models in production environments.
  • Collaborate with cross-functional teams to optimize model performance and maintain high standards of data quality.

Requirements

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