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Lead a BI team to build and maintain Power BI/SAP dashboards and reports, translating business needs into KPIs and data-driven insights for an insurtech company.
Manage AI/ML projects end-to-end, coordinating cross-functional teams to deploy classification, detection, and predictive models in production using Agile/Scrum and Jira/Confluence.
Lead the design and deployment of AI/ML solutions using Azure ML, OpenAI APIs, and Generative AI for computer vision tasks like object detection and retail shelf analysis.
Designs and maintains secure, scalable network and security infrastructure using Cisco, Palo Alto, and cloud platforms, while automating operations and enforcing policies.
Build data pipelines and models to optimize supply, dispatch, and pricing for Grab’s driver-partner platform, turning data into experiments and dashboards that guide product decisions.
Build and maintain an AI platform: design services, deploy LLMs, optimize inference, and implement MLOps/RAG workflows for enterprise AI solutions.
Senior Data Scientist builds and scales ML models and data pipelines to deliver business insights in a hybrid role at NTT DATA.
Designs and leads enterprise-grade data and AI platforms for an insurer, focusing on scalable, governed solutions on Azure and GCP with MLOps and Databricks governance.
Lead a software team building an HRM cloud platform, guiding architecture, code quality, and AI-assisted development practices.
Build and maintain a secure, scalable Data Management Platform using Java, Kubernetes, Spark/Kafka, and CI/CD pipelines to power global financial messaging services.
Designs and builds scalable cloud data pipelines and platforms for clients, migrating legacy systems to modern cloud environments using Azure Data Factory, Synapse, and Snowflake.
Build and maintain scalable lakehouse data pipelines for a leading insurance firm, using Spark, Python, and Delta Lake to support financial reporting, regulatory compliance, and analytics in a regulated environment.
Senior Data Engineer builds and maintains data infrastructure for a large logistics company, ensuring reliable data pipelines and processes to support business operations.
Define data engineering standards, own production reliability, and guide scalable pipelines in a fast-paced trading environment while mentoring a high-performing team.
Designs and maintains data warehouses and ETL pipelines for a fintech consultancy, using Databricks, SQL, and Python to deliver analytics-ready datasets.
Design and build data marts, ETL/ELT pipelines, and dimensional models to support analytics and reporting for fintech clients using Databricks, AWS, and SQL.
Senior Data Engineer builds SQL-based data models and BI dashboards for marketing and e-commerce clients, using cloud warehouses (BigQuery, Snowflake) and tools like Looker Studio or Tableau.
Designs and builds scalable data pipelines and cloud-based ETL/ELT workflows to integrate and transform enterprise data for analytics and BI.
Lead the design and reliability of Deriv’s data pipelines, ensuring accuracy, observability, and governance for trading, compliance, and AI systems at scale.
Designs and scales AI data pipelines, integrates LLMs into features, and ensures production readiness with monitoring and automation for AI projects.
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