Platform Engineer

🔥 0 minutes ago

🌽 Illinois – Remote

🌽 Illinois – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🏗️ Platform Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Quantiphi

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Series A on 2019-12

Consulting • Healthcare • Logistics

Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.

📋 Description

• Architect and implement the MLOps strategy for the program, aligning with the project proposal and delivery roadmap • Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation using GCP-native services • Build container-oriented ML platforms with a GKE-first approach while evaluating Kubeflow, Vertex AI, MLflow, Airflow, and similar orchestration tools • Implement hybrid MLOps and LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems within GCP • Serve as a technical authority across internal and customer projects, contributing architectural patterns, best practices, and reusable GCP frameworks • Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems • Collaborate with data engineering, platform, DevOps, and client stakeholders to deliver production-ready ML solutions on Google Cloud • Ensure solutions adhere to security, governance, and compliance expectations • Conduct architecture reviews, troubleshoot complex ML system issues, and guide implementation across cloud-native ML platforms on GCP • Mentor engineers and provide guidance on modern MLOps tools, Vertex AI capabilities, and best practices

🎯 Requirements

• 10+ years working in ML/AI platform engineering or AI/MLOps roles with strong architecture exposure • Strong expertise in the Google Cloud (GCP) native AI/ML stack, including Vertex AI, Google Kubernetes Engine (GKE), Cloud Functions, AutoML, Vertex AI Pipelines, BigQuery ML, API Gateway, and CI/CD (Cloud Build/Cloud Deploy or equivalent) • Hands-on experience with MLOps tools including MLflow, Kubeflow, Vertex AI Pipelines, Airflow, BentoML, KServe, and Seldon • Deep understanding of model lifecycle management • Experience implementing or supporting LLMOps pipelines, including prompt versioning, evaluation metrics, and automation frameworks • Deep understanding of the ML lifecycle, including data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance • Strong experience with Google Cloud's Vertex AI platform, including Pipelines, Feature Store, Model Registry, and Model Monitoring • Experience implementing ML CI/CD pipelines • Strong SQL and data transformation experience using Snowflake, Databricks, and Spark • Experience with feature engineering pipelines and Feature Store management • Understanding of lineage tracking, metadata tracking, and reproducibility • Hands-on experience with Vertex AI Foundation Models, OpenAI, Anthropic, or Llama models • Experience with Cloud Monitoring, Vertex AI Model Monitoring, Prometheus, and Grafana • Strong foundation in Python and cloud-native development patterns • Solid understanding of security best practices, Cloud IAM, secrets management, and artifact governance • Work location requirement: Chicago, IL or surrounding states • Willingness to travel up to 30%

🏖️ Benefits

• Exposure to working with Fortune 500 companies and innovative market disruptors • Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud • Opportunity to be part of an AI-first digital transformation and engineering company • Leadership opportunity within an energetic team • Travel opportunities up to 30%