empowerment

Customer Success Manager (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 Customer Success Manager in Canada.

This role is a great fit for someone who thrives at the intersection of client support, onboarding, and long-term relationship management. You’ll guide organizations through the implementation of digital group retirement plans, helping them understand the platform, execute plan transfers, and promote financial wellness across their teams. You’ll serve as a trusted advisor, identifying optimization opportunities and resolving issues while collaborating closely with product and technical teams. This position offers the chance to make a direct impact on financial empowerment through exceptional customer service.

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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