Top Artificial Intelligence Jobs

As a Senior MLOps Engineer, you will design, build, and operate the infrastructure and ML platform for ClimateAi's forecasting products, collaborating closely with Data Science and Engineering teams to enhance model management and data systems.

The Sr. Business Development Manager focuses on government engagement, driving sales, managing client relationships, and developing growth strategies for digital solutions.

Lead and scale the Business Operations function by managing cross-functional ops teams, building processes, automations, KPIs, and systems, hiring and developing ops leaders, defining product priorities for ops experiences, and executing CEO-level strategic projects to drive company growth.

As a GTM Recruiter, you will manage full-cycle recruitment for various commercial roles, build candidate relationships, craft outreach strategies, and ensure a high-quality candidate experience as the company scales.

As a Data Scientist, you will develop machine learning algorithms, analyze complex datasets, and provide actionable insights for the U.S. Intelligence Community.

Create and own technical content (blogs, tutorials, demos, video) for Altimate Code. Generate ideas tied to the modern data stack, deeply test the product, support SEO/AEO, build editorial workflows, and distribute content across developer channels.

The Account Manager will handle account management and sales cycles, engage with finance leaders, and close deals by showcasing AI-powered solutions.

Lead end-to-end full-stack engineering initiatives for Project Simulation and Asset Operations. Build scalable frontend and backend systems, ensure code quality, collaborate cross-functionally, debug production issues, and participate in on-call rotation.

The Head of Software will define TetraMem's software roadmap, oversee ML systems development, and lead compiler/toolchain and embedded software projects, while building and mentoring a technical team.

Design, build, test, and maintain data architectures, database systems, and pipelines using GCP and BigQuery. Optimize data retrieval, automate processes, redesign infrastructure for scalability, collaborate with stakeholders, and deliver analytics tools that provide actionable business insights.