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Vice President in Goldman Sachs Internal Audit's Embed Data Analytics team, building production-ready analytical tools and data-driven solutions using SQL, Python, and visualization platforms to support audit testing and assess the firm's control environment.
Build and deploy AI and econometric models for forecasting and scenario analysis at a major Australian bank, blending data science with macroeconomic research.
Design, build, and deploy ML/AI solutions (including GenAI) using Python/R, Spark, and Docker/Kubernetes to solve complex business problems and advise clients.
Design and build production-grade AI agent systems using LangGraph, CrewAI, and MCP, deploying on Azure/AWS while enforcing structured outputs, evaluation pipelines, and Responsible AI guardrails.
The Senior AI and Machine Learning Engineer will design, develop, and deploy scalable AI/ML models and agentic architectures while mentoring junior team members. The role involves collaborating with cross-functional teams to integrate advanced machine learning solutions into production environments using frameworks like PyTorch, TensorFlow, and LangGraph.
Senior AI/ML engineer at HPE responsible for designing, developing, and deploying machine learning and agentic AI solutions using Python, TensorFlow/PyTorch, and frameworks like langGraph within the HPE Operations IT services team.
Designs and deploys agentic AI systems for medical imaging, combining LLMs, RAG, knowledge graphs, and tool orchestration to solve complex healthcare workflows.
The AI/ML Engineer will develop AI-powered security solutions and product features using LLMs, agentic frameworks, and machine learning techniques. The role involves designing intelligent components and staying current with state-of-the-art AI research to enhance cybersecurity products.
The Software Engineer will develop and maintain Python-based data pipelines and AI-enabled solutions to extract insights from scientific data. The role involves collaborating with cross-functional teams to support life science customers through automated data products and curation tools.
The Staff Software Engineer will design and build autonomous AI agents using frameworks like LangChain and AutoGen to transform enterprise workflows. The role involves integrating these agents with cloud systems and optimizing them for performance and scalability using Go, Rust, or Python.
Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide.…
Builds and deploys AI/GenAI solutions (LLMs, RAG, agentic systems) to improve insurance sales, fraud detection, and customer experience using Python, SQL, and cloud platforms like Azure and Databricks.
The Senior Machine Learning and Artificial Intelligence Scientist will lead the development and production deployment of advanced AI and ML solutions, including generative AI and multi-agent systems, to drive business impact. The role involves working across cloud-native architectures like Azure, Databricks, AWS, and GCP to build scalable, reliable, and governed AI products.
The Machine Learning Engineer will research and implement ML algorithms, focusing on NLP, computer vision, and GenAI to build healthcare SaaS solutions. They will collaborate with researchers and engineers to integrate models into production environments.
The AI/ML Specialist will design and deploy scalable AI solutions, including Generative AI and NLP, within a banking environment. The role involves the full lifecycle of AI development, from data analysis and modeling to cloud deployment and CI/CD integration.
Builds scalable backend services and growth-focused payment systems for Google Payments, focusing on real-time decisioning, financial workflows, and user engagement features like quest engines and rewards.
The Research Scientist will conduct research on efficient and sustainable AI technologies, focusing on the development and optimization of large language models and multimodal foundation models. This role involves collaborating with interdisciplinary teams to create real-world sustainability solutions and publishing findings in top-tier academic venues.
The Research Scientist will conduct research on energy-efficient and scalable AI technologies, focusing on the training and inference of large language models for sustainability applications. The role involves developing novel algorithms and system-level innovations using Python and frameworks like PyTorch.
Design and deploy AI, ML, optimization, and control algorithms for building automation and energy management at Honeywell Connected Enterprise, using Python, MATLAB, and Spark in cloud and edge environments.
Senior IT Project Manager leading AI/ML/GenAI solution delivery for the FBI at Quantico, VA—driving architecture, POCs, and production deployments using LLMs, RAG, vector databases, and cloud AI platforms (Azure, AWS, Google) with Agile/Scrum practices.
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