CP AI/ML & Predictive Analytics SME
Creative Solutions Services, LLC
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Job summary
NTT DATA is seeking a Senior GCP AI/ML & Predictive Analytics SME to design, deploy, and support enterprise AI/ML and predictive analytics solutions on Google Cloud Platform. 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.
The successful candidate will possess strong experience in machine learning, predictive analytics, cloud-based
Qualifications
- Bachelor's degree in CS, Data Science, or related field.
- 10+ years in data engineering/science, ML, analytics.
- Experience designing, deploying, and supporting enterprise AI/ML solutions.
- Experience with GCP services including Vertex AI, BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Cloud Functions.
- Strong Python programming and ML frameworks (TensorFlow, scikit-learn, PyTorch).
- Ability to collaborate with cross-functional stakeholders and communicate clearly.
Responsibilities
- Design, develop, deploy, and support enterprise 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.
- Collaborate with business and engineering teams to deliver integrated solutions.
- Mentor and share knowledge on GCP, AI/ML, and MLOps practices.
Skills
Education
Tools
Job description
Req ID: 390505
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization,
We are currently seeking a CP AI/ML & Predictive Analytics SME to join our team in Charlotte, North Carolina (US-NC), United States (US).
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.
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.
- 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.
- 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.
- 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.
- 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.
- 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
- BigQuery
- Cloud Storage
- Dataflow
- Dataproc
- Pub/Sub
- Cloud Functions
- 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:
- TensorFlow
- Scikit-learn
- PyTorch
- 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.
- 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.
#LI-NorthAmerica
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
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you’d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
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