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Open nowFirst seen 4 hours ago

Principal AI/DS Platform Engineer / Architect

GenZ Talent8 open roles

Where
Lahore, Pakistan, Remote
Work mode
Remote
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Your applicationOpen nowPrincipal AI/DS Platform Engineer / ArchitectGenZ Talent · Lahore, Pakistan, Remote

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The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: first seen 4 hours ago

The posting

Principal AI/DS Platform Engineer / Architect

Location: Remote (Pakistan) Salary: PKR 200,000 – 400,000 per month, depending on experience Experience: 8+ years Working Hours: US Time Zone Employment Type: Permanent after 2-month probation

About the Role

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

  • Lead end-to-end architecture and design of enterprise AI/ML platforms using AWS.
  • Design and deploy scalable, secure, production-ready AI/ML infrastructure.
  • Architect RAG systems, including embeddings, vector search, hybrid search, and re-ranking.
  • Design LLM gateways, guardrails, evaluation frameworks, and prompt management.
  • Build AI/ML solutions using AWS Bedrock, SageMaker, EKS, Lambda, and S3.
  • Design and deploy statistical, predictive, and classical machine learning models.
  • Develop forecasting and time-series models, including feature engineering and model validation.
  • Establish MLOps and LLMOps practices for model deployment, monitoring, and maintenance.
  • Implement Infrastructure as Code using Terraform or AWS CDK.
  • Design and maintain CI/CD pipelines.
  • Implement monitoring, observability, and performance tracking.
  • Ensure cloud security through IAM, VPC, and access controls.
  • Optimize infrastructure performance, scalability, and operational costs.
  • Evaluate architectural decisions and justify technical trade-offs.
  • Collaborate with engineering and data science teams to translate business requirements into technical solutions.

Required Skills & Experience

  • Minimum 8+ years of hands-on experience in AI/ML engineering, platform architecture, or related engineering roles.
  • Proven experience designing production-grade AI/ML platforms.
  • Strong AWS expertise, including Bedrock, SageMaker, EKS, Lambda, S3, IAM, and VPC.
  • Experience with OpenSearch or Amazon Kendra.
  • Strong understanding of Generative AI, LLMs, RAG, embeddings, hybrid search, and re-ranking.
  • Experience with LLM evaluation, guardrails, prompt management, and model governance.
  • Strong Python programming skills.
  • Experience in statistical modeling, predictive analytics, classical ML, forecasting, and time-series analysis.
  • Hands-on experience with Scikit-learn, XGBoost, and PyTorch.
  • Knowledge of MLOps, LLMOps, CI/CD, Terraform/CDK, observability, and FinOps.
  • Ability to design complex architectures and explain technical decisions.
  • Strong analytical, problem-solving, and communication skills.
  • Availability to work US time-zone hours.
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