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The Senior ML Engineer will design and operate production-grade AI and LLM systems for equity research, working within a hybrid team at CNBC to build scalable financial data products. The role involves end-to-end ownership of ML pipelines, model training, and inference infrastructure.
Senior Data Scientist bridging ML research and production, owning end-to-end pipelines, observability, and platform reliability for LLM/agent systems at an AI-first software company.
The Senior Data Engineer will design and maintain scalable data ingestion and AI-driven extraction pipelines using Python, Spark, and AWS. This role involves collaborating with data scientists to integrate LLMs and AI agents into production systems for retail and field operations data.
Build and maintain AI/ML pipelines and data infrastructure for Roamler’s OOH Location Database and product suite, enabling ML/NLP enrichment and embeddings for European brands.
The AI Engineer will design, build, and deploy AI-powered full-stack applications for the public sector, utilizing LLMs, RAG, and AI agents. The role involves developing both frontend and backend components while integrating automation workflows and AI models into governance and audit tools.
The Front End Developer will build and maintain responsive web applications for contact center platforms, integrating AI solutions and real-time data visualization. The role involves working with modern frontend frameworks like React, TypeScript, and cloud-based APIs to deliver scalable business applications for global clients.
This role involves developing and maintaining responsive web applications for contact center platforms, integrating AI solutions, and collaborating with cross-functional teams to optimize operational efficiency. The position requires expertise in modern frontend frameworks like React.js and experience with real-time communication technologies.
This role involves designing and building full-stack production software and workflow automations using modern web technologies, AI-assisted development tools, and cloud infrastructure. The engineer will work within the Splunk Global Field Enablement team to deliver scalable solutions and integrate LLM-based tools into internal operations.
Build and maintain data pipelines for a bank’s data warehouse and AI knowledge base, using Python, Spark, and cloud tools to support risk, fraud, and automation use cases.
Build and maintain scalable AWS data pipelines and lakehouse architectures for pharma analytics and AI/ML workloads, integrating commercial data sources like Veeva and Xponent.
An Engineering Manager leads AI/ML teams at a fintech platform (PitchBook) to plan, execute, and manage projects, ensuring resource allocation, risk mitigation, and team growth. Focuses on generative AI, predictive modeling, and data systems for financial insights.
Build and maintain scalable test infrastructure for Amazon's LEO satellite network, using AWS and AI/ML to analyze satellite telemetry and detect anomalies in real-time.
Build and deploy generative AI solutions using LLMs, RAG, and agentic workflows for legal-tech products, contributing directly to production code.
Leads full-stack development and AI agent integration for Citi’s applications, managing teams to design scalable, secure systems supporting complex AI workflows using React, Python/Java, LangChain, and cloud infrastructure.
Builds backend services and tools for GM’s virtual ECU environments, simulation orchestration, and AI-enhanced validation pipelines using Python/C++/C#/Java.
Build and ship recommendation models that power a personalized shopping feed, using ML to learn user taste from sparse signals and scale across millions of products.
Owns ML products end-to-end, from problem definition to production deployment and impact measurement, focusing on canonical data, entity resolution, retrieval/ranking, and applied LLMs for career transition tools.
Lead the design and development of ServiceNow solutions enhanced with AI agents, Graph RAG, and LangChain to automate workflows and improve user experiences using Python and JavaScript.
Designs, builds, and deploys advanced AI/ML solutions (Generative AI, LLMs, RAG, AI agents) to solve business challenges, leading architecture, development, and customer advisory efforts.
Principal Software Engineer builds and scales AI-powered .NET and React applications, integrating LLMs and RAG systems while leading full-stack development and mentoring teams.
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