Remote Data Jobs • NLP

This role is critical in making ML and AI services to power engaging user experiences. Working from end-to-end on live production services, defining the best approach to solve problems with ML, building data and model pipelines, and deploying and monitoring solutions.

Initiate and drive applied science initiatives to completion with a focus on improving the acquisition, retention, and expansion of large professionals on the Thumbtack platform. Develop, deploy, and optimize machine learning models and algorithms for various supply shaping problems. Collaborate closely with engineering, product management, business development, and marketing teams to define problems, develop end-to-end solutions, and ensure successful implementation and monitoring of machine learning systems in production.

As a CourtAvenue AI Business Analyst / Product Manager, you will shape and deliver transformational AI products and strategies for clients. You will act as a strategic advisor and hands-on product owner, helping to envision, define, and build proprietary AI products. This role combines business analysis, product management, and client partnership.

The Data Scientist will work closely with the Product, Data, and Research teams to analyze labor market trends, workforce dynamics, and economic patterns. The role involves cleaning, organizing, and interpreting large-scale datasets to develop innovative models, datasets, and visualizations that provide actionable insights into the future of work. The ideal candidate will demonstrate strong statistical thinking and a solid grasp of machine learning principles.

As an ambitious and talented Senior Data Scientist joining our growing team, you will have previous experience of deploying machine learning solutions to solve complex business problems. You will be adept working through the full development pipeline and comfortable working in a start-up like environment.

The Senior Data Scientist within the Global Products and Surety team will expand the boundaries of Data Science applications globally, helping incubate new ideas and encouraging innovation across Global Risk Solutions markets. This role involves leveraging the latest Artificial Intelligence (AI) and Machine Learning (ML) methods to drive business value, building in-house AI/ML capabilities, and participating in the end-to-end product cycle.

This role involves applying a deep knowledge of statistics, modeling, machine learning algorithms and data mining techniques to make business value and data insights visible. You will be responsible for the strategy, implementation, productionization and articulation of business impact. This role collaborates with cross-functional teams and communicate findings to both technical and non-technical stakeholders.

Play a critical role in advancing AI models by reviewing and refining outputs generated by cutting-edge large language models (LLMs). By applying your expertise in machine learning, data science, and technical domains, you'll ensure that model outputs maintain high standards of technical accuracy, relevance, and consistency.

Seeking a Senior Intelligence Engineer passionate about helping customers build AI/ML solutions at scale. As an experienced technologist, you will work directly with customers as part of a delivery team, enabling innovation by creating state of the art Machine Learning solutions that align to business goals. Responsibilities include being a hands-on Machine Learning engineer on customer engagements.

There are three subject areas to choose from for your thesis: Development and training of an ML Model to parse industry-specific documents as entrypoint for an RAG pipeline; Development of custom parsing and chunking tools for industry-specific documents and their ingestion into a vector database; Training and/or fine-tuning of a custom LLM model for use-case specific usages within the scope of smart hydraulic services.