Teams at Accenture

Design, build and productionise interpretable machine-learning and statistical models across customer, commercial, supply chain and operations. Perform data exploration, feature engineering, experiment design (A/B), model evaluation, monitoring and stakeholder-facing insights. Collaborate with product, data engineering and AI/ML teams to deliver production-ready analytical solutions and support model governance and lifecycle management.

Design, build and maintain batch and near-real-time data pipelines and data products. Develop ingestion, transformation and modelling solutions using SQL, Python, dbt and Spark. Implement data-quality, monitoring, CI/CD and security controls. Support production operations, incident remediation, documentation, and collaboration with product, analytics and platform teams to deliver reliable, performant, and cost-efficient data solutions.

Design and deliver enterprise-grade AI architectures across generative, agentic, and classical ML. Define NFRs, lead stakeholder workshops, select technologies, and architect agent registries, AI gateways, memory services, RAG pipelines, model adaptation, inference serving, security, FinOps, and observability. Produce architecture artifacts, build prototypes, and mentor cross-functional teams.