AI/ML Data Engineer II — airSlate
About the role
airSlate’s Marketing Engine team is hiring a Data Engineer II to build the data infrastructure that powers ML workloads and AI/LLM integrations. The role owns batch data pipelines in AWS, feature engineering datasets for ML, A/B testing infrastructure, and MLOps CI/CD workflows for model deployment and monitoring. Remote; airSlate has a Philippines hub but PH eligibility for this specific posting is unconfirmed.
What you'll do
- Design and maintain scalable batch data pipelines in AWS to power analytics and ML use cases
- Develop and optimize SQL transformations, analytical datasets, and ETL/ELT processes with robust data quality checks
- Build feature-ready datasets and support feature engineering pipelines for ML and predictive workloads
- Contribute to CI/CD-driven MLOps workflows for model deployment and monitoring in AWS
- Enable integration of AI and LLM-powered capabilities through robust, future-ready data infrastructure
Requirements
- 2–4+ years in Data Engineering, Analytics Engineering, or a backend data-focused role
- Hands-on experience designing and maintaining data pipelines and data warehouse solutions in AWS
- Strong SQL skills — transformations, query optimization, dimensional modeling
- Proficiency in Python for data processing and pipeline development
- Familiarity with AI/LLM integration in product environments; experience with MLOps workflows and A/B testing infrastructure is a plus
About airSlate
airSlate is a global SaaS company building no-code workflow automation, e-signature, and document management products — including SignNow, pdfFiller, DocHub, and Instapage — serving 100M+ users worldwide, with hubs across the US, Poland, Romania, Ukraine, and the Philippines.
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