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Lead AI engineering for classified systems: design, deploy, and secure LLMs and ML models in air-gapped environments while aligning with government accreditation and responsible-AI practices.
Lead AI/ML engineering for classified systems: design, deploy, and secure LLMs and retrieval pipelines in air-gapped environments while aligning with government accreditation and responsible-AI standards.
Lead the design and development of high-performance trading systems using KDB/q for time-series analytics and Python for AI/ML models, integrating them into real-time and batch pipelines.
Designs and deploys AI-powered document workflows using LLMs, NLP, and computer vision to automate enterprise processes and extract insights.
Lead the design and scaling of data pipelines and labeling workflows that power Cisco’s AI models, focusing on high-quality training data for LLMs and agents.
Lead the design and operation of a cloud-based AI/ML platform, enabling data scientists to build, train, and deploy models at scale using Kubernetes, AWS, and MLOps tooling.
Builds and maintains PySpark-based ML pipelines for anomaly detection and root cause analysis in semiconductor manufacturing, optimizing distributed data processing and deploying scalable models in production.
Build and deploy AI models for edge devices: port vision/speech models to NPU-enabled SoCs, extend AI tooling for hardware-aware development, and create reference designs for smart-home and surveillance use cases.
Design AI Engineer builds and deploys AI models for signal-based and edge applications, analyzing sensor data and integrating AI into embedded Linux systems.
Lead the design and governance of secure AI platforms at Singtel, embedding privacy, compliance, and explainability into AI/ML pipelines and cloud deployments.
Designs and leads enterprise-grade AI solutions for Singtel’s AIDA unit, integrating AI workflows, cloud-native architectures, and hybrid systems while collaborating with cross-functional teams to align technology with business goals.
Build and deploy AI models (LLMs, computer vision, signal processing) to automate environmental monitoring and impact studies, using Python and cloud tools.
Build and maintain AI/ML systems that detect fraud and cyber threats in real time for Mastercard’s global payments network, using Python, PySpark, and MLOps tools.
Build and deploy ML systems that classify billions of daily web requests in real time, detecting bots and abusive automation while balancing latency, evasion-resistance, and fleet-wide failover behavior.
Lead a team managing Fingerprint’s data warehouse and ML Ops pipeline, ensuring scalable infrastructure for fraud-detection models and analytics using ClickHouse, DataBricks, and AWS SageMaker.
Develops and optimizes model-compression tools (quantization, pruning, distillation) for LLMs and generative models to run efficiently on Intel AI hardware.
POSITION SUMMARY We are seeking an experienced Senior AI Engineer to design, develop, and deploy next-generation AI-powered products and intelligent systems. This role will play a critical part in shaping the…
ABOUT THIS ROLE As a Senior Staff Embedded Software Engineer, you will provide overall technical leadership for our embedded cameras ecosystem, owning the architecture, design, and hands-on implementation of features…
Build AI/ML models to analyze and optimize vehicle repair order durations using econometrics and large-scale data to improve fleet uptime and service efficiency.
Builds and optimizes ML models and infrastructure for Google Play, focusing on AI-driven features and large-scale systems to enhance user experiences across Android devices.
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