Senior GCP AI/ML Architect & Predictive Analytics

NTT DATA North America; Charlotte (NC); On-site; USD 150,000 - 210,000; Full time

Job summary

NTT DATA North America seeks an experienced GCP AI/ML & Predictive Analytics SME in Charlotte, NC. Lead design, development, deployment, and support for enterprise AI/ML and predictive analytics on Google Cloud Platform, mentoring teams and aligning with business goals.

Ideal candidate has 10+ years in data science, data engineering, and ML, with strong Python, MLOps, and cloud platform expertise, and a track record of delivering scalable, production-grade solutions.

Qualifications

• Bachelor's degree or equivalent in a related field and 10+ years in data/AI
• Experience designing, deploying, and supporting enterprise AI/ML solutions.
• Experience with GCP services including Vertex AI, BigQuery, Dataflow, Dataproc, Pub/Sub.

Responsibilities

• Design, develop, and implement scalable AI/ML and predictive analytics solutions on GCP.
• Lead architecture discussions and provide technical guidance for AI/ML initiatives.
• Develop, deploy, monitor, and optimize machine learning models and AI services.
• Design end-to-end ML pipelines and MLOps processes.
• Develop predictive analytics to support business decisions and improvements.
• Evaluate and recommend AI/ML technologies and approaches.
• Collaborate with stakeholders and cross-functional teams to deliver integrated solutions.

Skills

Python programming

AI/ML architecture

MLOps practices

Data engineering

Stakeholder collaboration

Communication skills

Mentoring

Cloud computing

Education

Bachelor's degree in CS/Data Science/Engineering/Math/Stats

Tools

Vertex AI

BigQuery

Cloud Storage

Dataflow

Dataproc

Pub/Sub

Cloud Functions

Kubernetes

Docker

Job description

NTT DATA North America seeks an experienced GCP AI/ML & Predictive Analytics SME in Charlotte, NC. Lead design, development, deployment, and support for enterprise AI/ML and predictive analytics on Google Cloud Platform, mentoring teams and aligning with business goals.

Ideal candidate has 10+ years in data science, data engineering, and ML, with strong Python, MLOps, and cloud platform expertise, and a track record of delivering scalable, production-grade solutions.