As a Senior ML DevOps Engineer, you'll architect systems for fraud detection, manage cloud infrastructure, and develop MLOps strategies via collaboration.
Secure Global Money Transfers with Cutting-Edge Technology
Join our mission to protect cross-border transactions, helping customers send money safely worldwide.
As a Senior ML Infra DevOps Engineer in our Anti-Fraud & Compliance team, you'll architect high-performance systems that detect fraud and enforce regulatory compliance.
Our ML stack focuses on tabular modeling for fraud detection.
What You'll Do
- Maintain and improve current cloud infrastructure (AWS and on-prem).
- Develop and implement a comprehensive MLOps strategy that enables the seamless integration of machine learning models into our environment.
- 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 MLOps engineers, data scientists, software engineers, and other stakeholders to understand model requirements, deployment needs, and data dependencies.
- Enhance fraud detection systems using machine learning
We're Looking For:
- 3-5+ years of professional experience in DevOps or a related field (ML experience will be plus).
- Strong cloud infrastructure skills in AWS / GCP / Azure.
- Deep experience with Kubernetes, AWS CloudFormation, Terraform, and containerization (Docker).
- Knowledge of setting up CI/CD pipelines using GitHub Actions, GitLab CI, Argo, Jenkins, etc.
- Experience with Prometheus, Grafana, OpenTelemetry, Loki, Evidently, etc.
- Proficient in Python (preferred) and Bash, with experience building automation tools and scripts.
- Experience with SQL/NoSQL databases and distributed systems.
- Strong communication skills (English B2+)
It would be a plus:
- Experience building internal MLOps platforms or developer tools.
- Experience deploying and managing machine learning models in production environments.
- Understanding ML lifecycle, model training and evaluation workflows, reproducibility, and model governance.
- Familiarity with Golang or .NETKnowledge of fraud prevention, fintech, or compliance
What We Offer:
- Remote work flexibility – work from anywhere.
- B2B contract with competitive gross compensation in USDTop-tier hardware to support your productivity.
- A challenging role in a team of skilled professionals.
- Continuous learning and career growth opportunities.
- Coverage for professional development: training, seminars, and conferences.
- Access to high-quality English lessons
A few words about us:
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 1700 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.
Top Skills
Argo
AWS
Aws Cloudformation
Azure
Bash
Docker
GCP
Github Actions
Gitlab Ci
Grafana
Jenkins
Kubernetes
Loki
NoSQL
Opentelemetry
Prometheus
Python
SQL
Terraform
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