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Build and deploy AI/ML models for predictive maintenance using time-series sensor data to reduce equipment downtime in industrial and smart-infrastructure settings.
Build and deploy AI/ML models (forecasting, CV, NLP) in cloud/air-gapped environments, collaborating with engineers to drive operational efficiency and present insights to stakeholders.
Build, train, and deploy AI/ML models (e.g., time-series, CV, NLP) to solve business problems, then monitor and iterate them in production with MLOps tooling.
Build and deploy AI-powered software solutions, integrating ML models (PyTorch/TensorFlow) with full-stack development in Python and cloud platforms like Azure.
Build and maintain scalable observability infrastructure, including time-series databases and distributed tracing systems, to monitor TikTok's production services and ensure stability.
Build backend systems that connect IoT field devices to digital platforms for a large-scale Smart City initiative, using industrial protocols and real-time data pipelines.
Owns a streaming-first data platform for autonomous cleaning robots, ingesting telemetry and building medallion architecture and semantic layers for global dashboards.
Build and optimize cloud-native backend systems in Go to power real-time data pipelines and low-latency trading workflows.
Build and own a streaming-first data platform for autonomous cleaning robots, designing medallion architecture and semantic layers to power real-time fleet analytics and LLM-driven insights.
Lead AI-powered analytics and Agentic AI solutions to drive business performance across ASEAN & South Pacific, building predictive/prescriptive models and deploying scalable ML systems using Python, Azure, and Databricks.
Build a streaming-first data platform for autonomous cleaning robots, designing medallion architecture and semantic layers to turn real-time telemetry into trusted fleet KPIs.
Build and lead a global observability stack (metrics, logs, traces, profiling) for a large consumer internet platform, supporting both traditional distributed systems and AI-driven infrastructure.
Build and maintain web platforms and DevOps pipelines for intelligent public transportation systems using Node.js, TypeScript, Docker, and Ansible.
Build and deploy ML models to detect anomalies in time-series sensor data for climate/industrial systems using Python, SQL, and MLOps practices.
Design and deploy AI/ML models (predictive, NLP, computer vision) for enterprise use cases, collaborating with stakeholders to deliver end-to-end analytics solutions on large-scale data.
Design and implement secure device-to-cloud protocols (MQTT/HTTPS) and cloud APIs for IoT fleets, ensuring reliable telemetry and OTA updates from field devices to customer dashboards.
Build and deploy AI-driven forecasting, optimization, and generative AI systems for CPG companies using Python, ML, and agentic workflows.
Build ML forecasting models and LLM pipelines to analyze tax-compliance support data, then translate insights into clear narratives for leadership.
Design and scale AWS-based data pipelines for high-volume time-series data from industrial sources, building a Data Lakehouse and optimizing ETL/ELT workflows for analytics-ready datasets.
Build and maintain scalable data pipelines for a systematic commodities hedge fund, using Python, SQL, and cloud tools to process market and alternative datasets for trading research.
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