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Lead a Java-based cloud platform for financial data, integrating AI/ML and LLM-powered tools using AWS services and modern APIs.
Designs and governs enterprise AI systems, including LLMs and MLOps, ensuring scalable, secure, and compliant solutions aligned with business goals.
Build and deploy an AI platform for federal agencies; integrate GenAI features, write full-stack code, and embed with customers for 60-180 days.
Build and deploy AI/ML-powered cloud services on AWS for national security, using Java, Kubernetes, and RAG frameworks while ensuring compliance and security.
Build and maintain cloud-based AI/ML and cybersecurity systems on AWS for national security, using Python, Java, and big-data tools like Hadoop and Accumulo.
Develops and integrates AI solutions (generative AI, agents, workflow automation) to optimize EMCOR’s construction/energy infrastructure operations, collaborating with business teams to implement secure, scalable AI tools while ensuring compliance with governance and security standards.
Designs and builds AI/ML-powered cloud-native applications on Microsoft Azure, focusing on retrieval-augmented generation and LLM integration to solve internal business problems while establishing reusable AI/MLOps patterns and security guardrails for cross-functional teams.
Designs and commercializes end-to-end AI ecosystems, bridging infrastructure and AI Knowledge Layer to integrate models, data pipelines, and applications into scalable, global services using MaaS and Agentic AI frameworks.
Build and scale AI pipelines that generate, evaluate, and optimize interactive ad creatives using LLMs, VLMs, and multimodal models to boost engagement and conversions for global apps and games.
Develops AI agents and LLM-based services to enhance trading systems within a bank's Financial Markets division, focusing on RAG pipelines, agent workflows, and financial domain integration.
Build and deploy ML models for creative understanding across vision, video, and language, then ship them into Adobe’s products to power insights and recommendations for marketers and creators.
At Epiq , your work contributes to complex, global legal outcomes. You’ll join a values‑driven community where integrity guides decisions, relentless service sets the bar, and we thrive on big challenges together. We…
Build and ship full-stack features and LLM-powered tools for an AI-forward school platform, working directly with founders and senior engineers in Austin.
Position Overview The AI/ML Engineer is a hands-on technical specialist responsible for designing, building, and operationalizing AI and machine learning capabilities within the MDM platform and its surrounding…
Owns the governed knowledge layer (World Model) that defines client entities, relationships, and data lineage for JPMorgan Chase’s AI assistants and systems, ensuring consistent client data across teams.
Build and lead the RackAI platform using Go and Kubernetes, designing scalable cloud-native services and embedding AI-driven development tools to set engineering standards.
Role Purpose The Assistant Manager – AI & Machine Learning will support the development of advanced analytics and AI-driven solutions to enhance digital banking performance, customer engagement, and marketing…
Build and deploy AI agents using LangChain/LangGraph on GCP, leading a team to architect cloud-native, scalable systems and mentor engineers while integrating cutting-edge LLMs and MLOps practices.
Design and deploy AI-powered copilots and agentic solutions using Microsoft’s AI stack (Copilot Studio, Azure AI Foundry) and Python, integrating LLMs and RAG for enterprise clients.
Build and maintain data pipelines and AI-powered applications using Snowflake, dbt, and LLM tools to automate business processes and deliver intelligent, actionable insights for enterprise users.
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