Senior Software Engineer

Job Summary

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