Remote Data Jobs • TensorFlow

Understand business requirements and identify opportunities for AI integration in generative chatbot solutions. Analyze large datasets to extract meaningful insights, patterns, and trends relevant to the development and improvement of generative AI chatbots. Continuously monitor and evaluate the performance of generative AI chatbots, making data-driven decisions to optimize and enhance their capabilities.

Lead and scale the data science function, building a high-impact team that drives data-driven decision-making, AI-powered optimization, and business intelligence across the company. Work cross-functionally with Product, Engineering, and Business teams to develop models that enhance pricing, personalization, fraud detection, and operational efficiency. Define and execute the vision and roadmap for Data Science at Engine.

Shape the digital workplace of the future for our customers as an AI Developer. You will solve complex data challenges and develop innovative solutions in the Google Cloud Platform (GCP). Enjoy a wide range of exciting projects from chatbots to complex quality assurance systems in manufacturing, and collaborate with an experienced and dynamic team.

Leverage advanced machine learning techniques to deliver cutting-edge solutions that directly impact our global platform and user experience. Work with large-scale data to solve complex problems, from improving search relevance to personalizing recommendations, and create a powerful, seamless experience for our users. Contribute to the innovation at the world’s largest work marketplace.

As a Senior Data Scientist at ShiftKey, you’ll play a key role in shaping the future of our data science function and driving innovative solutions across both our Marketplace and SaaS products within the Healthcare space. You will lead the development and deployment of advanced machine learning models, delivering actionable insights that fuel growth and operational efficiency.

Join the AI research team at Truveta and contribute to innovative projects in Deep Learning using Structured and Unstructured data that demand cutting edge use of encoding and Transformer based modeling including LLMs. Collaborate with researchers and engineers to design, develop, and refine deep learning models using Structured, Unstructured, and multi-modal data for various applications. Implement, train, and fine-tune deep learning models on large-scale datasets.