DNA

Senior MLOps Engineer - Anti-Fraud & Compliance Platform

DNA • PL
Remote
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 MLOps 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 and prevention.

What You'll Do:

  • 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
  • We're Looking For:

  • 5+ years of professional experience in MLOps or a related field.
  • Experience deploying and managing machine learning models in production environments.
  • Understanding ML lifecycle, model training and evaluation workflows, reproducibility, and model governance.
  • Experience building internal MLOps platforms or developer tools.
  • Experience with ML pipeline orchestration tools (e.g. Kubeflow, MLflow, Airflow, Metaflow, SageMaker Pipelines).
  • Knowledge of setting up CI/CD pipelines for ML workflows using GitHub Actions, GitLab CI, Argo, Jenkins, etc.
  • Experience deploying models in Docker/Kubernetes environments.
  • Strong knowledge of cloud platforms: AWS, GCP, or Azure.
  • Experience with setting up tools like Prometheus, Grafana for model & pipeline observability.
  • Strong programming skills in Python.
  • Experience with SQL/NoSQL databases and distributed systems.
  • Strong communication skills (English B2+)
  • *Familiarity with Golang, .NET - would be a plus!
  • *Knowledge of fraud prevention, fintech, or compliance - would be a plus!
  • We offer you:

  • Remote work flexibility – work from anywhere.
  • 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.