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Research and deploy AI agents and workflows, curate datasets, and lead end-to-end ML model deployment from prototype to production.
Builds and improves systems that ingest, analyze, and surface education data for internal and external stakeholders.
Build and deploy ML models for Google Workspace, writing and reviewing code, debugging issues, and maintaining documentation.
Build and deploy AI models for fraud detection and risk analysis in payments, collaborating with engineering teams to maintain production systems.
Senior software engineer building scalable cloud infrastructure and self-serve tools to develop and launch AI agents for scientific research.
Builds and maintains low-latency, scalable distributed systems for AI-powered customer support, working with product, UX, and AI research to design cloud contact center software and lead partner integrations.
Owns AI analytics products focused on trust, verification, and evaluation frameworks to ensure model reliability and cross-team adoption.
Build and refine contextual search systems by analyzing user behavior, designing experiments, and mentoring junior data scientists.
Senior Data Scientist at Google applying causal inference, ML, and statistical analysis to solve business problems and drive strategy for Search, using data to guide cross-functional teams.
Quantitative UX researcher on Google’s sales platform, analyzing logs and surveys to define metrics and build statistical models.
Leads a data-science team to build AI-powered insights, set the org vision, and coach leaders while aligning capabilities with business needs.
Develops ETL pipelines, data models, and APIs in Python and PySpark, deploys solutions on AWS, and maintains web apps using Agile Scrum.
Build and maintain Uber Freight’s big-data pipelines and ETL frameworks, ensuring scalable, high-quality data integration and observability for product teams.
Build and automate ML pipelines, CI/CD, and cloud infrastructure for AI deployments, ensuring security, monitoring, and model/data drift detection.
Defines and manages requirements for embedded software and connected devices, ensuring consistency and traceability while collaborating with engineering, QA, and product teams.
- Apply complex data coding logic - Communicate with stakeholders - Conduct end to end quality checks - Document processes findings and resolutions - Drive resolution of data delivery issues - Execute BAU production…
Designs and maintains the agentic AI platform architecture, including MCP servers, safety controls, and model routing, while mentoring engineers and ensuring robust observability.
- Analyze data requirements - Develop and optimize BW queries - Develop and optimize reporting - Integrate external data sources - Manage SAP Analytics Cloud requirements - Perform training and enablement - Provide…
Build predictive models, clean and analyze data, create dashboards, and present insights to support business decisions.
Build and deploy ML models for embeddings, retrieval, ranking, and classification, and create generative-AI features for a large-scale recommender system.
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