Senior MLOps Engineer - Anti-Fraud & Compliance Platform

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.

A few words about us:

Originally posted on Himalayas