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Designs and deploys AI/ML and generative AI solutions (LLMs, RAG, vector databases) for enterprise applications, focusing on document intelligence, knowledge management, and automation to improve operational efficiency in climate and energy solutions.
Designs AI/ML and data solutions for enterprise clients, translating business needs into scalable delivery models, pricing, and proposals while collaborating with sales, operations, and suppliers.
Build and deploy predictive/prescriptive analytics models to drive healthcare decisions, using Python, SQL, and ML in a production environment.
This role involves designing and implementing scalable microservices and enterprise-grade software solutions using Java, Python, and cloud-native technologies. The engineer will work on RESTful APIs, database management, and containerized machine learning workflows within a multi-cloud environment.
This is a data science internship at DBS where the intern will assist senior data scientists in designing and testing machine learning, GenAI, and agentic AI solutions. The role involves data preparation, model development, and maintaining project documentation using tools like Python, SQL, and GCP.
The Generative AI Architect will lead the design, adoption, and scaling of Generative and Agentic AI ecosystems for strategic clients. This role involves hands-on solutioning, executive-level strategy, and practice-building leadership across various industries.
Build enterprise banking platforms and integrate AI features like document processing and decision support using Java/Node.js/Python and React/Angular with LLM APIs and RAG pipelines.
The Machine Learning Engineer will design, build, and deploy production-grade machine learning and GenAI systems, including LLM integration and RAG pipelines. The role involves working across the full ML lifecycle, from data exploration and model training to MLOps and cloud-based deployment on AWS.
Develop, integrate, deploy, and maintain machine learning software solutions for US government missions using Python, Bash, and Linux within a Federal Solutions team.
Lead enterprise red team and AI adversarial testing programs at MUFG, executing advanced attack simulations across network, cloud, and AI/LLM environments while mentoring operators and translating findings into risk-reduction actions.
Build automated analytics and AI solutions to improve healthcare outcomes, using machine learning, NLP, and predictive modeling across complex datasets.
Lead the development of advanced AI/ML systems powering next-generation journalism at The Washington Post, focusing on AI-powered search, retrieval, ranking, content understanding, and generative AI reader experiences using Python, PyTorch/TensorFlow/JAX, and cloud infrastructure.
Build and deploy ML models for personalization, recommendations, and ranking at The Washington Post, using Python, PyTorch/TensorFlow/JAX, and large-scale behavioral data to power intelligent reader discovery experiences.
Senior full-stack engineer designing and building enterprise healthcare software with Python, TypeScript, React, PostgreSQL, and GKE, including leading LLM integration into production applications at CVS Health in Galway.
Builds and scales production ML systems for Warner Bros. Discovery’s media brands, focusing on identity resolution, audience intelligence, and content affinity. Owns end-to-end ML pipelines, feature stores, and agentic AI workflows on Databricks/Snowflake/AWS to drive advertising yield, personalization, and engagement.
Funko Overview Welcome to the Funko-verse, a world built on pure imagination, a land governed by the philosophy that stories matter, a universe comprised of characters from countless fandoms, a galaxy of once upon a…
Key Responsibilities Gain exposure to how large companies manage data across different areas like engineering, supply chain, finance, and manufacturing. Learn how data is used to support decision‑making, dashboards,…
Designs and deploys production GenAI systems (RAG, vector DBs, LLM integrations) for a military logistics platform, ensuring AI-driven autonomy in sustainment workflows.
The Applied AI Lead builds and deploys production-grade AI agents and automation workflows for clients in industrial sectors. This hands-on role involves integrating modern AI tooling with legacy IT and OT systems while collaborating with business stakeholders to deliver scalable solutions.
Develops next-gen AI/ML GenAI solutions on Google Cloud, focusing on large-scale system design, model deployment, and GenAI techniques like LLMs and multi-modal models to enhance Google’s products and services.
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