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The Data Scientist provides technical assistance to intelligence operations by evaluating and improving statistical models and machine learning algorithms. The role involves analyzing complex datasets to support national security missions within a classified environment.
Senior Data Scientist building and deploying predictive ML models for collections and customer engagement analytics. Day-to-day work involves feature engineering, model training/validation, and production ML pipelines using Python, SQL, and frameworks like XGBoost, LightGBM, and TensorFlow.
Camgian is seeking an experienced Systems Engineer to lead the integration of modeling and simulation (M&S) capabilities across Camgian’s product development lifecycle. This role is first and foremost a systems…
Plans, scopes, costs, and operationally designs AI data service projects—translating customer requirements into project plans, staffing models, cost models, and pricing—working cross-functionally across Sales, Operations, and Supplier Management.
Lead a team of penetration testers at Lloyds Banking Group, shaping the penetration testing strategy and driving both human-led and autonomous security testing across the enterprise.
Lead a penetration testing team at Lloyds Banking Group, shaping strategy for human-led and autonomous security testing across the enterprise, combining offensive security expertise with team leadership.
Manage a team of Data Scientists at Sanofi's Commercial Data Science division in Toronto, leading the design and deployment of AI, ML, Generative AI, and Agentic AI solutions for commercial operations using Python, cloud platforms (AWS/GCP), and tools like Snowflake.
The Senior Lead AI Engineer will design and deploy foundational AI systems, including LLM customization, fine-tuning, and reinforcement learning, to enhance banking products. The role involves optimizing large-scale production AI infrastructure for performance and scalability using technologies like PyTorch, AWS, and vector databases.
The Lead AI Engineer will design and deliver enterprise-scale AI and Agentic AI solutions within Mastercard's AI Center of Excellence. This role involves leading multidisciplinary teams to build production-ready AI platforms using Python, cloud-native architectures, and modern AI frameworks like LangChain and PyTorch.
The AI Engineer II will develop and maintain AI/ML systems for Blue Origin's Blue Ring space mobility platform, focusing on multi-agent systems, RAG pipelines, and telemetry anomaly detection. The role involves building intelligent ground systems to support satellite fleet operations using Python, AWS, and various ML frameworks.
The Senior AI Engineer will design and implement enterprise-scale AI solutions, including LLM-powered automation, agentic workflows, and RAG systems. The role involves integrating AI into the software development lifecycle and collaborating with cross-functional teams to advance AI governance and technical maturity.
Lead AI Engineer designing and implementing enterprise-scale AI solutions—LLM integration, RAG systems, agentic AI, MCP servers—within RBC's SDLC using .NET/C#, Java, and Python.
The Machine Learning Scientist II will develop and deploy production machine learning models to optimize air pricing and travel marketplace decisions at Expedia Group. The role involves the full ML lifecycle, from problem formulation and data analysis to causal evaluation and model monitoring.
The Senior Software Engineer will design, develop, and deploy AI/ML models and pipelines to improve operational efficiency within the aerospace and defense sector. The role involves working with Python, MLOps practices, and generative AI technologies in a hybrid work environment.
The Staff Software Engineer will lead the architecture and development of a production-critical platform for manufacturing, utilizing Python, FastAPI, React, TypeScript, and Java. The role involves building scalable, event-driven systems, integrating cloud infrastructure, and applying AI/ML to optimize manufacturing operations.
Job Description About the Team The Evaluation Foundations team, part of Embodied AI's Scaling Foundations, solves critical evaluation challenges for autonomous vehicle development. We engineer high-performance…
The AI Solutions Engineer designs, develops, and deploys AI and LLM solutions to solve business challenges. The role involves optimizing models, managing deployment pipelines, and collaborating with cross-functional teams using tools like Python, PyTorch, TensorFlow, and cloud AI services.
The Solution Architect will design and implement scalable multi-cloud and Generative AI solutions for clients, bridging business requirements with technical execution. The role focuses on AWS, Azure, and GCP environments, utilizing LLMOps, RAG, and agentic AI frameworks to deliver production-grade platforms.
Designs and delivers multi-cloud, AI-driven enterprise solutions (GenAI/Agentic AI, RAG, LLMOps) for clients, leading architecture, POCs, and technical delivery across AWS/Azure/GCP.
Design, develop, and deploy AI/ML solutions including RAG systems, LLM integrations, and vector embeddings using Python, React, and cloud platforms at a pharmaceutical company.
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