Senior ML DevOps Engineer

Medium; Warsaw (IL); Remote; USD 80,000 - 100,000; Full time

Job summary

A leading financial technology firm is looking for a Senior ML Infra DevOps Engineer to enhance fraud detection systems and manage cloud infrastructure. The ideal candidate should have strong cloud skills and experience in DevOps. This position offers remote work flexibility and competitive gross compensation in USD. A career in a skilled team awaits you, with a focus on continuous learning and development.

Benefits

Remote work flexibility

B2B contract

Competitive gross compensation in USD

Top-tier hardware

Career growth opportunities

Coverage for professional development

Qualifications

• 3-5+ years of professional experience in DevOps or a related field.
• Strong cloud infrastructure skills in AWS / GCP / Azure.
• Deep experience with Kubernetes and containerization.

Responsibilities

• Maintain and improve current cloud infrastructure.
• Develop and implement MLOps strategy.
• Build internal tools for versioning and CI/CD.

Skills

Cloud infrastructure skills

Kubernetes

AWS CloudFormation

Terraform

Containerization (Docker)

CI/CD pipeline setup

Communication skills (English B2+)

Proficient in Python

Tools

GitHub Actions

GitLab CI

Argo

Jenkins

Prometheus

Grafana

OpenTelemetry

Loki

Job description

Overview

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\u2019ll architect high-performance systems that detect fraud and enforce regulatory compliance. Our ML stack focuses on tabular modeling for fraud detection.

Responsibilities

• 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.

What We\u2019re Looking For

• 3-5+ years of professional experience in DevOps or a related field (ML experience will be a 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 .NET; knowledge of fraud prevention, fintech, or compliance.

What We Offer

• Remote work flexibility
• B2B contract with competitive gross compensation in USD
• Top-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 other big IT corporation—we encourage and support in-house entrepreneurs in developing their ideas into business actions.