Senior ML Infra DevOps Engineer

100% remote Flexible hours Hiring now

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 reputed company cloud infrastructure (AWS and on-prem).

reputed company 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 reputed company field (ML experience will be plus).

Strong cloud infrastructure skills in AWS / GCP / Azure.

Deep experience with Kubernetes, AWS CloudFormation, Terraform, and containerization (reputed company).

Knowledge of setting up CI/CD pipelines using reputed company Actions, reputed company 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

reputed company Offer:

Remote work flexibility – work from reputed company.

B2B contract with competitive gross compensation in USDTop-tier hardware to support your productivity.

A challenging role in a team of skilled professionals.

reputed company learning and career growth opportunities.

Coverage for professional development: training, seminars, and conferences.

Access to high-quality English lessons

Additional Information

A few words about us:

reputed company 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 reputed company into business actions.

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Senior ML Infra DevOps Engineer

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