AI Architect - Appex Innovation

Key Responsibilities

• Architect end‑to‑end AI pipelines from data ingestion to model serving, ensuring robustness and compliance with healthcare regulations.
• Collaborate with data scientists, clinicians, and product teams to translate clinical problems into scalable ML solutions.
• Design and implement model training, hyper‑parameter tuning, and continuous integration/continuous deployment (CI/CD) workflows on AWS and Kubernetes.
• Optimize models for performance, latency, and cost, employing techniques such as quantization, pruning, and model distillation.
• Establish monitoring, logging, and alerting for model drift, data quality, and system health in production environments.

Requirements

• 10+ years of experience in AI/ML engineering, with a proven track record in healthcare or life‑sciences domains.
• Expertise in Python, TensorFlow/PyTorch, and advanced ML/DL concepts (e.g., NLP, computer vision).
• Hands‑on experience deploying models on AWS (SageMaker, ECS/EKS) and managing Kubernetes clusters.
• Strong understanding of data engineering principles, including data pipelines, feature stores, and data governance.
• Excellent communication skills and ability to mentor cross‑functional teams.