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Designs and maintains AI-driven security automation pipelines, integrating SOAR tools with SIEM and AI systems to triage and respond to threats at machine speed.
Designs and maintains AI-driven security automation pipelines, integrating SOAR tools with SIEM and AI systems to triage and respond to threats with minimal human input.
This role involves high-performance data processing and improving data quality within a cloud-based environment using Kotlin, Java, and Spring Boot. The engineer will work with BigQuery to identify and fix data issues at scale while building remediation tooling and monitoring systems.
Build and ship AI-powered features like LLM agents and event intelligence for a large-scale incident management platform, working with LLMs, retrieval, and distributed systems.
Senior Data Scientist who translates industrial data into actionable insights, builds predictive models (e.g., maintenance/energy), and integrates AI into business processes for clients in digitalization projects.
Overview Microsoft AI is a customer-first organization building AI-powered products that help customers and businesses achieve their goals in a rapidly evolving technology landscape. During this AI platform shift, we…
AquaShield is seeking a founding full-stack hardware engineer to develop real-time leak detection systems for water and gas infrastructure. The role involves end-to-end product development, from hardware prototyping and IoT connectivity to ML-based data processing.
Build and scale ML systems, MLOps, and agentic AI workflows for a leading Thai food platform, integrating models into production via APIs and microservices.
Build and productionize ML and GenAI solutions for Manulife's actuarial, finance, and treasury functions, translating business problems into predictive models, retrieval-based GenAI systems, and agentic workflows using Python, SQL, Spark/Databricks, and modern ML frameworks.
Designs and maintains Grab’s real-time streaming data platform (Coban) using Go, Kafka, Flink, and SDKs, ensuring scalability, reliability, and ease of use for Grab’s product teams across fintech, transport, and other verticals.
Software engineer building fault-tolerant systems for Apple's hyper-scale cloud network — designing sensing, decision-making, and automated remediation layers that detect and fix network anomalies in real time using distributed systems, control theory, and graph algorithms.
Design and deploy AI models that process high-frequency sensor data from IoT devices to enable real-time automation in physical infrastructure systems.
Responsibilities Define and execute data quality test strategies for batch and (if applicable) near-real-time data pipelines. Build and maintain automated data quality checks across medallion layers…
System Integration Manager Location: Mountain View/San Jose Bay Area Team: System Engineering The Impact You’ll Make: The System Integration Manager owns the end-to-end integration of power electronics subsystems —…
Are you passionate about building innovative technology that powers AI and machine learning across a global organization? As part of our team, you’ll help shape the future of model deployment at scale, collaborating…
Data Engineer on a 1-year contract owning the full data lifecycle—ingestion, transformation, modelling, quality, and serving—using AWS/Azure, Python, SQL, and Terraform for a GovTech/MOE project in Singapore.
This role involves leading the development of advanced AI and machine learning models to analyze workforce data and provide actionable insights for HR leaders. The position requires expertise in predictive modeling, statistical inference, and generative AI technologies to enhance the company's People Intelligence platform.
The Lead Fleet Reliability Data Engineer will design and maintain scalable data pipelines to integrate operational telemetry and maintenance records for GE Vernova's global solar and storage fleet. This role focuses on building a reliable data foundation to support reliability analysis, performance monitoring, and predictive analytics using SQL and Python.
The Solution Architect will lead the strategy for AIOps, observability, and auto-remediation to drive proactive, self-healing IT operations. This role involves designing enterprise-scale architectures and defining technical standards for automation, monitoring, and event management.
Builds and operationalizes Microsoft Fabric-based data and MLOps platforms for enterprise clients, focusing on governed environments, pipelines, CI/CD, data quality, and observability to enable client data science teams to deploy models reliably in production.
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