AI/ML

remote

We are looking for a talented Senior Data Engineer who thrives in data-rich environments and is passionate about building high-performance, reliable data systems. The ideal candidate will work closely with AI and ML teams to develop real-time pipelines, tracking systems, and feature store foundations that power advanced analytics and machine learning production.

Responsibilities

Build and maintain high-performance, reliable data pipelines and infrastructure
Ensure feature availability and consistency for ML teams
Develop tracking systems and feature store foundations to support analytics and ML production
Collaborate with ML and analytics teams to optimize workflows and enable data-driven decision-making
Implement best practices for data quality, monitoring, and scalability

Requirements

Strong software engineering fundamentals (clean code, testing, system design)
Proven experience building real-time, low-latency data services
Experience operating in production at scale (high throughput, distributed systems)
Expertise with modern data stack technologies (e.g., Kafka/Kinesis, Spark/Flink/Beam, Snowflake/BigQuery/Redshift)
Ability to design schemas, ingestion flows, and data quality frameworks
Experience collaborating with ML teams on feature availability and consistency

Will be a plus

Experience supporting ML systems (feature serving, online/offline consistency)
Production experience with model inference pipelines
Strong DevOps experience (Docker, Kubernetes, CI/CD)
Experience with cloud-native architectures (AWS/GCP)
Experience implementing data observability / lineage frameworks

What we offer

Competitive salary and benefits package
Medical insurance
Top equipment kit
Full Remote
Collaborative and innovative work environment
Career growth and development opportunities
A chance to work with a talented and driven team of professional

About the project

An AI-powered performance marketing company that manages and optimizes campaigns at scale across a broad range of verticals. The business is built around data-driven decision-making and automation, using a proprietary technology stack that connects with major advertising and tracking ecosystems to support real-time optimization and reliable measurement.

Their internal platform streamlines day-to-day operations for performance teams by providing centralized monitoring, fast feedback loops, and automated controls that reduce manual work. In-house machine learning supports smarter decisioning across core workflows—helping improve efficiency, maintain stable performance, and scale campaigns with consistency while staying focused on measurable business outcomes.