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Lead Data Science initiatives for CCOR Conduct, designing and deploying production-grade GenAI/ML solutions for risk and compliance use cases (AML, fraud, sanctions), managing the end-to-end model lifecycle with Python and various ML techniques.
Lead the engineering efforts of an 'Agentic Factory' team, designing and deploying production-grade GenAI/ML solutions, multi-agent workflows, and MLOps pipelines on GCP/Vertex AI with hands-on Python development and team mentorship.
Build and deploy scalable ML pipelines on AWS and Databricks, leading a team to integrate generative AI models and APIs for healthcare analytics.
Lead and scale Acosta Group's enterprise AI architecture and platform engineering, defining reference architectures and building reusable AI platform services across GenAI, agentic AI, and RAG using Azure, Azure AI Foundry, Kubernetes, and MLOps/LLMOps.
Build and deploy generative AI features and full-stack apps to modernize Barclays’ platform, using Python/Java, cloud-native tools, and enterprise-grade security.
Senior Data Scientist bridging business challenges with AI-driven solutions, specializing in Generative AI, LLMs, and MLOps to develop and deploy advanced models for clients in industries like finance, telecom, and retail.
Builds and deploys AI-driven systems (RAG, agents) for Thomson Reuters’ investigative platform CLEAR, integrating AI into full-stack web apps, APIs, and enterprise workflows for legal/tax/compliance domains.
Lead complex AI/ML and analytics consulting engagements for TransUnion's Financial Services Consulting team in a hybrid Chicago role, using Python/R, SQL, cloud platforms, and modern ML frameworks to deliver data-driven solutions to clients.
Oversees end-to-end enterprise Data & AI projects, aligning business strategy with technical execution, ensuring compliance, and driving scalable platforms for measurable value.
Lead a team building a next-gen case management platform for investigators using Java/Spring Boot, microservices, and AWS while driving AI adoption and compliance.
Senior Data Scientist leading ML model development and deployment in a distributed data system to maximize weapon system operational effectiveness for Boeing Defense, Space & Security.
Leads MLOps and forecasting platform architecture on Databricks, designing scalable pipelines for campaign projections, budget forecasting, and incrementality testing to optimize ad delivery at scale.
Welcome to Haleon. We’re a purpose-driven, world-class consumer company putting everyday health in the hands of millions. In just three years since our launch, we’ve grown, evolved and are now entering an exciting new…
Lead the strategy, governance, reliability, and operations of enterprise cloud data and AI platforms on Azure, managing engineering teams and partnering across the organization to deliver scalable, secure platform services.
Forward Deployed Engineer at Cisco’s Splunk team bridges AI resilience, customer success, and product innovation. You’ll architect AI solutions, deploy them for enterprise clients, and collaborate with internal teams to refine product features based on real-world feedback.
The Forward Deployed Engineer partners with enterprise customers to design and deploy scalable AI solutions while collaborating with internal teams to improve the Splunk AI resilience platform. This role involves technical consulting, building integrations, and troubleshooting complex production environments.
Design and build scalable AI/ML systems at Nike, leveraging prediction models and generative AI to drive data-driven business decisions and optimize corporate functions.
Lead AI/ML Engineer at Nike owning end-to-end ML and generative AI solutions for corporate functions, from design through production, using Python, AWS (SageMaker, Lambda), and MLOps practices.
Builds AI-powered automation solutions for internal business processes (Finance, HR, Logistics) by designing agentic systems, integrating LLMs/RAG, and deploying scalable production-grade models while ensuring security, governance, and observability.
Architect, build, and scale backend services for an agentic AI platform at Adobe, designing APIs, data pipelines, and agent orchestration infrastructure using Python, LLMs, vector databases, and cloud platforms.
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