Senior Software Engineer 3085089 I.Html

To support the AI Pipeline team, the full-time Senior Software Engineer will design, build, and operate infrastructure and tooling for production AI systems, focusing on ML pipeline development, model lifecycle management, and experimentation frameworks in a remote environment.

##### Key Responsibilities

Design, build, and maintain end-to-end ML pipelines for data ingestion, preprocessing, model training, evaluation, and serving

Own model versioning and implement rollout automation, canary deployments, and rollback mechanisms for safe model releases

Build and operate A/B testing frameworks to evaluate model variants in production with rigorous statistical guardrails

##### Required Qualifications

5+ years in software engineering, with at least 2-3 years in ML engineering, MLOps, or AI platform roles

Hands-on experience with model versioning, data versioning, and deployment automation in production environments

Proficiency with workflow orchestration tools (e.g., Apache Airflow) and experiment tracking (e.g., MLflow)

Experience with AWS services (e.g., S3, ECS/EKS) and comfort operating in a cloud-native environment

A B-Tech degree in Computer Science or equivalent experience relevant to the functional area