Corporate IT Engineer - Alembic Pharmaceuticals Ltd

Key Responsibilities

• Architect and maintain scalable AI infrastructure on NVIDIA DGX SuperPOD and AWS, ensuring high availability and performance for causal modeling workloads.
• Collaborate with data scientists to deploy Python‑based machine learning pipelines, optimizing data ingestion, feature engineering, and model training processes.
• Implement robust monitoring, logging, and alerting solutions to track system health, performance metrics, and security compliance.
• Automate deployment workflows using CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure-as-code tools.
• Provide technical guidance and troubleshooting support for cross‑functional teams, translating business requirements into technical solutions.

Requirements

• 5+ years of experience in enterprise IT engineering, with a focus on AI/ML infrastructure.
• Proficiency in Python, AWS services (EC2, S3, SageMaker), and container orchestration (Kubernetes).
• Hands‑on experience with NVIDIA DGX systems and GPU‑accelerated workloads.
• Strong understanding of causal inference concepts and experience deploying causal models.
• Excellent problem‑solving skills, communication, and ability to work in a fast‑paced, collaborative environment.