CP AI/ML & Predictive Analytics SME

We are seeking an experienced GCP AI/ML & Predictive Analytics Subject Matter Expert (SME) to design, develop, deploy, and support enterprise AI/ML and predictive analytics solutions on Google Cloud Platform (GCP). This role will provide technical leadership for AI and data science initiatives, partnering with business, engineering, architecture, and data teams to deliver scalable, secure, and production-ready solutions., AI/ML Solution Architecture and Delivery

Design, develop, and implement scalable AI/ML and predictive analytics solutions using Google Cloud Platform (GCP).

Lead architecture discussions and provide technical guidance for AI/ML initiatives.

Develop, deploy, monitor, and optimize machine learning models and AI services.

Design and implement end-to-end machine learning pipelines and MLOps processes.

Develop predictive analytics solutions to support business decision-making and operational improvements.

Evaluate and recommend AI/ML technologies, tools, and architectural approaches.

Platform Engineering and MLOps

Build and maintain AI/ML solutions using GCP services, including:

Vertex AI

BigQuery

Cloud Storage

Dataflow

Dataproc

Pub/Sub

Cloud Functions

Establish machine learning operational standards, governance processes, and lifecycle management practices.

Implement model monitoring, performance tracking, model validation, and retraining processes.

Ensure scalability, reliability, performance, and maintainability of AI/ML platforms.

Predictive Analytics and Data Science

Design and implement predictive analytics solutions, including:

Forecasting

Recommendation systems

Classification models

Regression models

Anomaly detection

Perform data exploration, feature engineering, model training, evaluation, and optimization.

Identify opportunities to leverage AI and predictive analytics to solve business challenges and improve outcomes.

Support model performance assessment using appropriate statistical and machine learning techniques.

Collaboration and Leadership

Partner with business stakeholders to understand requirements and identify AI/ML opportunities.

Collaborate with data engineers, software engineers, architects, and product teams to deliver integrated solutions.

Communicate technical concepts, trade-offs, and recommendations to technical and non-technical audiences.

Mentor team members on GCP, AI/ML technologies, predictive analytics practices, and MLOps methodologies.

Contribute to architectural standards, best practices, and reusable solution patterns.

The successful candidate will possess strong experience in machine learning, predictive analytics, cloud-based AI/ML platforms, data engineering, and MLOps practices, with demonstrated ability to translate business requirements into actionable AI-driven solutions., Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, Mathematics, Statistics, or a related field; or an equivalent combination of education, training, military experience, and relevant work experience.

Minimum of 10 years of experience in Data Engineering, Data Science, Machine Learning, Artificial Intelligence, Analytics, or related technical disciplines.

Experience designing, developing, deploying, and supporting enterprise AI/ML solutions.

Experience with Google Cloud Platform (GCP) services, including one or more of the following:

Vertex AI, Experience developing, deploying, monitoring, and maintaining machine learning models in production environments.

Experience building end-to-end AI/ML pipelines and implementing MLOps practices.

Experience with predictive analytics methodologies, including forecasting, recommendation systems, classification, regression, and anomaly detection.

Strong programming experience in Python.

Experience with one or more machine learning frameworks such as, Equivalent machine learning frameworks

Knowledge of:

Data preparation and transformation

Feature engineering

Model validation and testing

Model performance optimization

Machine learning lifecycle management

Proven ability to collaborate effectively with cross-functional business and technical stakeholders.

Strong verbal, written, and presentation communication skills.

Ability to work from or relocate to one of the following approved locations: San Francisco Bay Area, CA; Charlotte, NC; Dallas, TX; Phoenix, AZ; or New York, NY.

Preferred Qualifications

Experience with Generative AI, Large Language Models (LLMs), AI agents, or AI orchestration frameworks.

Experience with data visualization and analytics tools such as:

Power BI

Looker

Tableau

Similar reporting and visualization platforms

Experience with:

Kubernetes

Docker

CI/CD pipelines

Infrastructure automation

Google Cloud certifications such as:

Professional Machine Learning Engineer

Professional Data Engineer

Related cloud or AI certifications

Experience implementing AI governance, model risk management, or responsible AI practices.

Experience supporting enterprise-scale AI/ML solutions in regulated environments.

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com