संयुक्त राज्य
कैलिफ़ोर्निया
संयुक्त राज्य
मिनेसोटाBuild and deploy production AI applications on Target’s enterprise platform, while shaping reusable tools for its retail ecosystem. Lead solutions from early prototypes through production operations and help teams adopt generative AI.
Build on-device sports tracking technology for Hawk-Eye Innovations, optimising computer vision inference across consumer devices. The work supports elite and semi-professional sport.
Build Python and machine learning solutions using automotive plant data and connected data pipelines. Help Expleo advance safer, smarter, and more sustainable mobility.
Build machine learning models and LLM pipelines while analyzing travel data for Mize. Evaluate model performance in production and share findings with technical and business teams.
Advance AI agent planning, memory, evaluation, and safety for Zendesk’s customer service resolution platform. Build reinforcement learning systems using production trajectories.
Principal-level engineer guiding AI adoption across Gradion’s digital platforms and Deep Tech solutions. Combines hands-on LLM development with architecture, reliability, and technical leadership, without direct reports.
संयुक्त राज्यकैलिफ़ोर्नियाLead the development of machine learning and causal inference solutions that support Airwallex’s global growth. Work with Marketing and Growth teams to improve customer acquisition, engagement, and retention.
Lead AI engineering at Allstate India, designing agentic AI, semantic systems, and cloud data platforms. Set technical direction across products and strengthen production operations and engineering practices.
Lead the systems behind the company’s machine learning, spanning training, evaluation, inference, and deployment. Build production infrastructure with Python, PyTorch or JAX, and GPU computing.
संयुक्त राज्यकैलिफ़ोर्नियामिनेसोटाLead the development of production AI and machine learning applications for Target’s retail business. Provide hands-on technical direction across LLMs, applied ML, system architecture, deployment, and operations.
