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Principal AI/ML Platform Engineer / Architect (Healthcare)

GenZ Talent • Pakistan
Full Remote
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Leads AI/ML platform architecture for a healthcare client, focusing on enterprise-grade AI/ML systems, Generative AI, and LLMs. Requires 8+ years of experience in AWS AI/ML, MLOps, and production-grade system design. Must have hands-on expertise in RAG, embeddings, and LLM governance.

Key Highlights
8+ years of experience in AI/ML platform architecture required
Leadership in designing production-grade AI/ML systems using AWS
Hands-on expertise in Generative AI, LLMs, RAG, and MLOps
Key Responsibilities
Lead AI/ML platform architecture and design for healthcare client
Design and deploy production-grade AI/ML infrastructure using AWS
Architect RAG systems, LLM gateways, and evaluation frameworks
Establish MLOps and LLMOps practices for model deployment and monitoring
Collaborate with engineering and data science teams to translate business requirements
Technical Skills Required
AWS AI/ML Architecture Generative AI & LLMs MLOps & LLMOps
Nice to Have
Experience with OpenSearch or Amazon Kendra
Hands-on experience with Scikit-learn, XGBoost, and PyTorch
Knowledge of FinOps and Infrastructure as Code (Terraform/CDK)

Job Description

We are looking for an experienced Principal AI/DS Platform Engineer / Architect to lead the architecture and design of enterprise-grade AI/ML platforms for a healthcare client, with an upcoming advanced modeling engagement.

The ideal candidate must have strong hands-on experience in AWS AI/ML architecture, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), MLOps, LLMOps, and statistical/predictive modeling.

This role requires 8+ years of experience in designing and architecting production-level systems, with the ability to independently make architectural decisions and justify technical trade-offs.

Key Responsibilities

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