CDI Solutions

Sr GCP Architect

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr GCP Architect with a long-term remote contract. Requires 8+ years in AI/ML solution design, 3+ years on GCP, and proficiency in Vertex AI, BigQuery, and MLOps. Preferred certifications include Google Cloud Professional Cloud Architect or ML Engineer.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 20, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#BigQuery #Scala #Metadata #Cloud #ML (Machine Learning) #SQL (Structured Query Language) #Data Pipeline #PyTorch #Security #TensorFlow #Compliance #VPC (Virtual Private Cloud) #Data Ingestion #"ETL (Extract #Transform #Load)" #Deployment #AI (Artificial Intelligence) #Data Engineering #Data Management #Storage #GCP (Google Cloud Platform) #Python #IAM (Identity and Access Management) #Monitoring #Dataflow
Role description
Hello One of my Client is Hiring for GCP Cloud AI Lead / Architect at Remote-USA for Contract Job Title: GCP Cloud AI Lead / Architect Work Location: Remote Contract Duration: Long Term Summary: Overview Contract role to design and deliver enterprise AI/ML solutions on Google Cloud (Vertex AI, BigQuery, Dataflow, GKE). Lead architecture, MLOps, and implementation of production ML pipelines. Key Responsibilities • Architect end-to-end AI/ML solutions on GCP (data ingestion → training → deployment → monitoring). • Design scalable data pipelines, feature stores, and model serving (Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Storage, GKE). • Define CI/CD for models, automated training/retraining, deployment strategies and monitoring. • Ensure security, compliance, governance, and cost optimization (IAM, VPC, KMS). • Produce architecture docs, diagrams, and POCs; guide/mentor engineering teams. • Coordinate with stakeholders to translate business needs into ML requirements and KPIs. Required Qualifications • 8+ years in AI/ML solution design; 3+ years on GCP. • Hands-on with Vertex AI, BigQuery (BigQuery ML), Dataflow, Pub/Sub, GKE. • Experience building production ML pipelines and MLOps (model registry, CI/CD, monitoring). • Proficient in Python and ML frameworks (TensorFlow/PyTorch/scikit-learn). • Strong data engineering (SQL, ETL/ELT) and cloud security knowledge. Preferred: • Google Cloud Professional Cloud Architect or Professional ML Engineer cert. • Experience with feature stores (Feast), metadata management, hybrid/multi-cloud. Thanks & Regards Rakesh kumar 2010 Crow Canyon Place,Suite 100 San Ramon,CA 94583 Work : 925 488 1943 | Email : rakesh@cdisolutionsinc.com