Role overview
IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.
We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions.
We understand the challenge of being apart from those who matter most. Boss Revolution is our flagship brand. It includes International Calling, Mobile Top Up, and Money Transfer services. It enables people to keep in touch with family and friends around the world as well as to send money to more than 50 countries with low fees and great exchange rates.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
What you'll work on
- Develop and implement a comprehensive MLOps strategy that enables the seamless integration of machine learning models into our environment.
- Design, implement, and maintain scalable and automated MLOps pipelines (data ingestion, training, evaluation, deployment, and monitoring).
- Build internal tools or integrate existing solutions for versioning, model registry, CI/CD, and observability.
- Collaborate with cross-functional teams to design, deploy, and manage scalable infrastructure for machine learning workloads.
- Own the full development lifecycle from design to incident response.
- Work closely with data scientists, software engineers, and other stakeholders to understand model requirements, deployment needs, and data dependencies.
- Enhance fraud detection systems using machine learning