Machine Learning Engineer
Core
MLOps engineer building and maintaining automated ML pipelines for cybercrime detection and anti-money laundering systems.
Role type
Senior MLOps Engineer
Builds
Production ML pipelines, monitoring systems, and scalable inference infrastructure for financial crime prevention.
Domain
Financial services / Cybersecurity / Machine Learning Operations
Deliverable
production ML models
Required skills
Python, Git, data structures and algorithms, NumPy, Pandas, pytest, Locust, AWS (EC2, S3, Lambda, ECR, ECS/EKS), Docker, Kubernetes, Terraform, GitLab CI/CD
Preferred skills
Experience with XAI techniques, model versioning strategies, cost optimization
Technologies
Python, Git, NumPy, Pandas, pytest, Locust, AWS, Docker, Kubernetes, Terraform, GitLab CI/CD, Grafana
Responsibilities
Develop and maintain automated ML pipelines (CI/CD) for training, validation, and deployment; Implement continuous monitoring systems for model performance and data drift; Optimize infrastructure costs and processing time; Explore and evaluate new MLOps technologies and frameworks.
Seniority
Senior, hands-on IC
