SENIOR AI DATA ENGINEER – VACANCY AT JOBS FOR HUMANITY

• • AI Data Engineering: Design, build, operate, and deploy real-time data pipelines at scale using AI techniques and best practices. Support Turnitin’s AI R&D efforts by applying advanced data warehousing, data science, and data engineering technologies. Aim for automation to enable a faster time-to-market and better reusability of new AI initiatives.

• Collaboration: Work in tandem with the AI R&D teams and the Data Platform Team to collect, create, curate, and maintain high-quality AI datasets. Ensure alignment of data architecture and data models across different products and platforms.
• Innovation: Unearth insights from Turnitin’s rich data resources through innovative research and development.
• Hands-on Involvement: Engage in data engineering and data science tasks as required to support the team and the projects. Conduct and own external data collection efforts – including state-of-the-art prompt engineering techniques – to support the construction of state-of-the-art AI models.
• Communication: Foster clear communication within the team and the organization, and ensure understanding of the company’s vision and mission.
• Continuous Learning: Keep abreast of new tools and development strategies, bringing innovative recommendations to leadership.

• At least 4 years of experience in data engineering, ideally focused on enabling and accelerating AI R&D.
• Strong proficiency in Python, Java, and SQL.
• Proficiency with Redshift, Hadoop, Elasticsearch, and cloud platforms (AWS, Azure, GCP).
• Familiarity with interacting with AI frameworks including PyTorch and TensorFlow and AI libraries such as Huggingface and Scikit-Learn.
• Experience with Large Language Models (LLMs) and LLM APIs.
• Strong problem-solving, analytical, and communication skills, along with the ability to thrive in a fast-paced, collaborative environment.

Location: Remote 

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