As a Machine Learning Engineer at Datatonic, you'll engineer code in Python and develop production-grade software for machine learning and data-driven solutions. Responsibilities include developing ML solutions, participating in project scoping, optimizing machine learning solutions for performance/scalability, and ensuring efficient data flow between databases and backend systems.

As an AI Engineer (LLM), you will play a critical role in developing our core Large Language Model (LLM) service, building, deploying, and optimizing LLM-powered solutions that directly impact our customer's ability to understand and process risk in commercial insurance. You will engage deeply with domain experts and product managers to understand and define key business problems within risk processing in commercial insurance that can be solved with LLMs.

Deliver value to internal stakeholders by understanding their business processes and owning solutions across the entire data chain. You'll own critical parts of our data infrastructure, design and build our product analytics pipeline, and make our AI-powered product more robust. You'll also build foundations for data team excellence and contribute to team growth.

Design and maintain scalable ETL pipelines for data integration ensuring seamless data ingestion and high-quality results, optimizing data syncing algorithms to handle large datasets efficiently, improving scalability and performance. Collaborate with AI researchers to transform machine learning models into production pipelines, delivering actionable insights in real time.

As a Senior Applied Scientist, you will work on various ML solutions, owning the process from requirements to product, with trust and input on data acquisition and strategy. Your work will impact millions of users, creating useful and remarkable outcomes within a small, multicultural team.

As a Machine Learning Manager, you will have a pivotal role in large projects, bringing your engineering and machine learning expertise to help us meet our high delivery standards, contributing technically to the design and implementation of machine learning solutions and tools across the entire ML lifecycle; you will also grow your team continuously.

Assist in the development and management of data products that drive insights and decision-making. Collaborate with stakeholders to understand business requirements and translate them into actionable product features. Work closely with data engineers and scientists to define data requirements and processing pipelines. Assist in the design and implementation of data products, ensuring they meet quality standards.

As Senior Database Engineer, you will design, implement, maintain, and optimize the organization's relational database systems, ensuring data integrity, availability, and performance to support business operations and decision-making. You'll work with IT teams, developers, and stakeholders to deliver efficient and scalable database solutions, maintaining data infrastructure and ensuring optimal performance of critical applications.

As a Data Engineer, you'll play a foundational role in reshaping our data infrastructure while also delivering key insights to drive decision-making. You’ll be responsible for setting up data pipelines, integrating multiple sources (on-chain & off-chain), and maintaining existing dashboards while creating new ones for leadership and internal teams.

Join the CrowdGen team as an Independent Contractor for Project Muscari, contributing to AI technology in speech recognition by recording questions and commands on various topics to interact with an AI assistant. Expected commitment is approximately 4 hours to complete 200 recordings.