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Lead Data Scientist responsible for designing, deploying, validating, and monitoring predictive, deep learning, NLP, multimodal, and generative AI models. The role involves statistical modeling, experimentation, causal inference, optimization, A/B testing, KPI definition, and translating business needs into analytical solutions. Responsibilities also include large-scale data processing, ML pipelines, data preparation, governance, and collaboration with product, engineering, and business stakeholders using Python, Databricks, MLflow, and Azure services.

Lead end-to-end SAP integration initiatives using CPI, PI, PO, and Integration Suite. Responsibilities include migration from PI to PO and PO to CPI, configuration, graphical and XSLT mapping, adapter-based integrations, cloud-to-cloud and on-premise connectivity, requirements gathering, testing, go-live support, defect resolution, and customer or third-party coordination.

Lead pre-sales AI and Azure transformation pursuits by identifying high-value use cases, translating business needs into end-to-end Microsoft AI architectures, shaping POCs, and coordinating delivery specialists. The role develops reference patterns across Azure, Microsoft 365, Copilot, and Power Platform; guides technical discovery; estimates effort and risks; and creates executive-ready transformation narratives, reusable architecture materials, demos, and decision frameworks.

Lead end-to-end development of high-performance AI-driven web applications using React, Python FastAPI, and Rust. Build responsive interfaces, scalable hybrid backend services, semantic search, summarization, and agentic workflows. Integrate NLP and generative AI models, optimize processing with Rust, and work with PostgreSQL and Redis. Drive architecture, promote type safety, create streaming AI user experiences, and mentor junior engineers.

Lead large-scale government and public-sector digital transformation programs from strategy through delivery. Establish governance, PMO practices, roadmaps, reporting, and risk controls while managing budgets, milestones, dependencies, and multiple workstreams. Build relationships with senior government and client stakeholders, lead executive governance forums, manage vendors and implementation partners, and drive technology adoption and organizational change. Mentor cross-functional consulting, technology, product, and operations teams and support continuous delivery improvement.

Design, develop, and deploy scalable Java microservices with Spring Boot on Azure. Build REST APIs, integrate Kafka messaging, manage Docker and Kubernetes deployments, and work with SQL and NoSQL databases. Write unit and API automation tests using JUnit and Cucumber, support CI/CD and DevOps processes, participate in code reviews, and collaborate with QA and engineering teams on reliable software delivery.

Supports software project quality processes by tracking adherence to organizational standards, maintaining documentation and quality records, coordinating metrics collection, assisting with compliance audits and work product inspections, and documenting SEPG activities. The role also supports project initiation, training records, audit findings, closure tracking, and escalation of quality risks while collaborating regularly with project teams.