Data Scientist / MLOps Engineer @ Antal
Core
Designing, developing, and maintaining end-to-end data and machine learning pipelines for enterprise-scale analytics and AI platforms in a global banking environment.
Role type
Data Scientist / MLOps Engineer
Builds
Enterprise-scale analytics and AI platforms used across the organization
Domain
Banking / Cloud-based ML solutions
Deliverable
production ML models
Required skills
Python, pandas, scikit-learn, TensorFlow, data pipeline construction, ML CI/CD, model versioning, automated deployments, production model monitoring, cloud architecture design
Preferred skills
Data analysis, data visualization
Technologies
AWS, CI/CD tools, modern ML frameworks
Responsibilities
Design, develop and maintain end-to-end data and ML pipelines; Build, train and evaluate machine learning models; Implement ML CI/CD processes, model versioning and automated deployments; Monitor models in production for performance, drift, and reliability; Collaborate with engineering, platform and business teams to deliver scalable ML solutions; Contribute to cloud-based ML architectures and best practices