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Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental…
Senior engineer building AI-assisted software workflows, reviewing AI-generated code, and translating business specs into testable requirements using C#, .NET, and PostgreSQL.
Build and scale foundational ML systems for global money movement, fraud detection, and customer-facing features using Python, PyTorch, and cloud platforms.
Design and build Azure Lakehouse architectures with Databricks, ADLS Gen2, Synapse, and Data Factory, and implement scalable ETL/ELT pipelines using Spark, Delta Lake, Python, SQL, and Scala.
Lead the design and deployment of enterprise-grade generative AI systems for Citi’s operations, building LLM pipelines, RAG systems, and multi-agent workflows in Python on major cloud platforms.
Role Overview: We are looking for a skilled and passionate Databricks Engineer to design, build, and optimize enterprise-scale data lakehouse solutions on the Databricks platform. The successful candidate will be…
Role Overview We are looking for a talented Forward Deployed AI Engineer with a passion for software engineering, Generative AI, Agentic AI, and enterprise AI transformation. In this client-facing role, you will work…
Build and deploy AI-powered applications and data pipelines under mentorship, working with cloud platforms, Python, and modern AI frameworks to solve business challenges.
Lead Chewy’s Ads Data Science team to build AI-powered ranking, bidding, and optimization systems for onsite and offsite ads, shaping the future of retail media with LLMs and generative AI.
Build, train, and deploy AI/ML propensity models to predict customer churn and personalize marketing at Verizon, using Python, R, SQL, and LLM tools like LangChain and RAG.
Lead AI/GenAI strategy and delivery, designing scalable solutions like chatbots and copilots while guiding cross-functional teams and setting enterprise standards for responsible AI use.
Lead the design, development, and deployment of production-grade AI/ML systems, including LLMs and agentic AI, while optimizing models for edge environments and guiding scalable MLOps pipelines.
Principal AI Software Engineer at Northrop Grumman builds and deploys large language models, NLP/NLU systems, and AI-driven decision tools for defense applications using PyTorch, TensorFlow, and cloud platforms.
Develop and deploy AI/ML models (LLMs, NLP, computer vision) for defense systems, focusing on explainable AI and sensor/data fusion, using frameworks like PyTorch and TensorFlow.
Build and deploy production-grade AI and Generative AI solutions for clients, using Python, cloud platforms, and MLOps practices to drive measurable business value.
Build AI-powered analytics systems that turn GM’s telematics, aftersales, and energy data into natural-language answers for business decisions, using Python, SQL, and cloud platforms.
Build and deploy enterprise-grade GenAI and ML systems, including agentic workflows and RAG pipelines, while implementing governance and cost-control measures across cloud platforms like GCP and AWS.
Lead AI product engineering for a healthcare insurer, building and shipping LLM-powered apps, agents, and RAG systems that integrate into claims, payments, and member workflows.
Lead the design and deployment of enterprise-scale AI agent systems at Caterpillar, focusing on agentic architectures, orchestration, and integration with cloud AI platforms.
Build and deploy enterprise-grade GenAI and ML systems, including agentic workflows and RAG pipelines, while implementing governance, monitoring, and cost controls across cloud platforms like GCP and AWS.
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