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The Senior Data Engineer will design and evolve the company's data platform, building batch and streaming pipelines while implementing agentic data workflows. The role involves high-performance API development, time series analysis, and close collaboration with product teams to ensure data quality and value.
Analyst who partners with leaders across a global consumer-products company to solve high-impact business problems using SQL, Python, BI tools, and generative AI.
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.
This Data Scientist role focuses on applying and integrating existing in-house AI platform capabilities into new business use cases. The position requires production-grade coding in Python to build services, pipelines, and APIs while collaborating with stakeholders to extend platform functionality.
Senior Revenue Operations Analyst at Smartsheet builds sales analytics, KPIs, and reports to optimize pipeline, retention, and deals for the GTM team using SQL, BI tools, and statistics.
Senior Data Scientist building and owning end-to-end ML models for ETA/ATA forecasting and NLP/LLM-based status extraction on a real-time supply chain visibility platform, using Python, SQL, Airflow, and AWS.
The Principal Software Engineer will architect and lead the delivery of high-performance, real-time data and AI solutions for energy and commodities trading clients. This hands-on role involves designing low-latency systems, mentoring engineering teams, and collaborating with client stakeholders to drive technical strategy.
Build and maintain secure, scalable backend services for RBC's metadata management platform using Python (Flask/FastAPI) and MongoDB, supporting data governance and compliance in financial services.
Design and deploy AI models that process high-frequency sensor data from IoT devices to enable real-time automation in physical infrastructure systems.
Lead the development and deployment of large-scale predictive models and algorithms to drive strategic decisions in real estate, using Python, SQL, and MLOps.
Lead the architecture and development of RAG systems combining LLMs with industrial knowledge sources to build troubleshooting assistants, using Python, PyTorch, Hugging Face, LangChain, and vector databases.
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…
Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Meet the Team Component Central Operations (CCO) supports Cisco’s Components (Silicon and Optical)…
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 Senior Data Engineer will design, build, and maintain a real-time data platform using Apache Flink, Kafka, and various databases like ClickHouse and BigQuery. The role involves managing end-to-end streaming pipelines, CDC processes, and production operations within a Kubernetes environment.
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.
This role involves leading GenAI and data science initiatives to optimize pharmaceutical product development processes. The manager will collaborate with scientific teams to build scalable AI solutions, frame complex problems, and mentor practitioners in applying advanced modeling techniques.
Work that powers communities. Who We Are Singapore Pools was established by the Singapore government on 23 May 1968 to provide safe and trusted betting to counter illegal gambling. As a not-for-profit organisation, it…
About the Role We are seeking a Data Scientist (Machine Learning) to develop and deploy advanced analytics and machine learning solutions that support business operations and digital transformation initiatives. The…
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