Data Engineer ( AI/ML )
Core
Design, develop, and maintain scalable data pipelines and cloud-based data platforms supporting AI and ML workloads, while building and deploying machine learning models for enterprise-scale applications.
Role type
Senior IC Machine Learning / AI Data Engineer
Builds
Scalable data platforms, optimized model pipelines, and production-ready AI solutions
Domain
Financial technology / Payments / AI/ML
Deliverable
production ML models
Required skills
Python, SQL, PySpark, MLOps, CI/CD, Generative AI, LLMs, RAG architectures, AI agents, prompt engineering, cloud platforms (AWS/Azure/GCP), containerization, orchestration
Preferred skills
Data modeling, query optimization, performance tuning, distributed data processing, model lifecycle management, data governance, responsible AI practices
Technologies
Python, SQL, PySpark, AWS, Azure, GCP
Responsibilities
Design and maintain scalable data pipelines and cloud-based data platforms; Build, deploy, and optimize machine learning models; Develop robust data processing and feature engineering solutions; Support end-to-end ML lifecycle management; Implement and maintain CI/CD pipelines; Collaborate with data scientists and engineers to operationalize AI/ML solutions
Seniority
Senior, hands-on IC