IDT Corporation is seeking a Senior MLOps Engineer to join our Anti-Fraud & Compliance team. You will play a critical role in architecting high-performance systems that protect cross-border transactions and ensure regulatory compliance through advanced machine learning solutions.
Key responsibilities
- Develop and implement a comprehensive MLOps strategy to enable seamless integration of machine learning models.
- Design, implement, and maintain scalable, automated pipelines for data ingestion, training, evaluation, deployment, and monitoring.
- Build internal tools and integrate solutions for versioning, model registry, CI/CD, and observability.
- Collaborate with data scientists and software engineers to manage infrastructure for machine learning workloads.
- Own the full development lifecycle, from initial design to incident response and system optimization.
Requirements
- 5+ years of professional experience in MLOps or a related field with a focus on production environments.
- Strong proficiency in Python and experience with SQL/NoSQL databases and distributed systems.
- Proven experience with ML pipeline orchestration tools such as Kubeflow, MLflow, Airflow, or SageMaker Pipelines.
- Deep knowledge of CI/CD workflows and deploying models within Docker and Kubernetes environments.
- Solid understanding of cloud platforms like AWS, GCP, or Azure, alongside observability tools like Prometheus and Grafana.
What we offer
- Full remote work flexibility, allowing you to work from anywhere.
- Competitive B2B contract terms with compensation in USD.
- Provision of top-tier hardware to support your daily productivity.
- Opportunities for continuous professional development, including training, seminars, and conferences.
- Access to high-quality English language lessons and a collaborative environment of skilled professionals.