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Analyzes system vulnerabilities and attack techniques to develop countermeasures, producing reports on threats to hardware, software, and operational security for mission-critical systems.
Leads applied AI/data science practice to build, evaluate, and deploy models for IFS Copperleaf’s AI products, focusing on explainable, defensible decisioning. Owns model lifecycle, MLOps, and AI governance while mentoring teams and shaping technical standards for forecasting, LLM tuning, and agentic systems.
Design and build data pipelines, quality frameworks, and tooling that turn multi-modal surgical robotics data into research-ready datasets for AI/ML teams, using Python, SQL, and distributed processing frameworks like Spark and Airflow.
Onsite ML engineer in Springfield, VA designing, building, and maintaining ML systems (predictive models, recommendation engines, anomaly detection) using Python, Kubernetes, PyTorch/TensorFlow, and MLOps tooling for a national security contractor.
Lead AI and full-stack development for a Singapore SME financing marketplace, building LLM-powered document analysis, credit/fraud models, and financial data pipelines using Python, modern web frameworks, and cloud platforms.
Build production-grade ML systems for HVAC energy efficiency using sensor data, time-series modeling, and anomaly detection in a climate-tech startup.
Own the product roadmap and operational delivery for FP&A capabilities powered by Microsoft Fabric, partnering with Finance, Data & Analytics, and Engineering to improve planning, forecasting, and financial reporting.
The Senior Data Engineer builds and maintains scalable data pipelines and reliable storage systems using Snowflake, Java, and Python. This role involves leading technical implementation, mentoring team members, and ensuring data governance and quality standards.
Lead the ML team at an ad-tech giant to architect cross-channel budget allocation, bid optimization, and attribution models that maximize ROAS for global brands using real-time performance data.
Leads the AI-driven measurement, optimization, and data intelligence layer for an omnichannel ad platform serving SMBs and agencies, defining how performance is tracked, attributed, and acted upon across channels.
InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business…
About League League is one of the fastest-growing technology companies in Canada and the leading healthcare experience platform. Getting healthcare is often the easy part — finishing it is where things fall apart:…
Lead performance characterization and reliability validation of TCU/BMC systems for data centers—designing stress/endurance tests, analyzing workloads, performing root cause analysis with hardware debug tools, and building automated testing frameworks using Python and Linux.
The Staff Information Security Engineer leads detection strategy and architecture, building high-signal detections-as-code to identify adversary activity across LinkedIn's cloud and enterprise environments. The role involves hands-on engineering, adversary emulation, and mentoring to improve detection fidelity and operational efficiency.
About Culligan Quench Culligan Quench’s purpose is to impact people’s lives and improve the earth by helping to eliminate the 500 million plastic bottles consumed each year. We play a front-line role in the battle…
The Staff Machine Learning Engineer will lead the development of Edge AI models for in-vehicle health monitoring and failure prediction. The role involves owning the end-to-end ML pipeline, including model training, optimization for resource-constrained devices, and deployment using technologies like PyTorch, TensorFlow, and C++.
The Senior Staff Machine Learning Engineer will lead the development and deployment of Edge AI models for in-vehicle health monitoring and failure prediction. This role involves managing the end-to-end ML pipeline, including model training, optimization for resource-constrained devices, and integration with vehicle systems.
This role involves building and maintaining automated quality-control frameworks for data pipelines and cloud-based analytics platforms within a financial services environment. The engineer will utilize Python, Selenium, PyTest, Azure Databricks, and Spark SQL to perform data validation and API testing.
Principal role designing and engineering enterprise-grade data platforms, integrating Agentic AI, and enforcing Architecture as Code with CI/CD for scalable, governed data products in fintech.
The MRG Group is hiring software engineers to build and scale their AdmitONE ticketing platform using an AI-first development approach. Engineers will work across the full stack, utilizing technologies like Go, Node.js, Python, React, and AWS to manage the end-to-end lifecycle of ticketing features.
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