AI DATA ENGINEERING AND DATA SCIENCE MANAGER-VACANCY AT JOBS FOR HUMANITY

In your role as AI Data Engineering and Data Science Manager, you’ll be expected to be versatile and well-balanced in your skills, covering a range of responsibilities:

• Leadership: Build and grow a team of AI data engineers and data scientists, ensuring their growth and high performance.
• AI Data Engineering: Design, build, operate, and deploy real-time data pipelines at scale using AI methods and best practices. Apply cutting-edge data warehousing, data science, and data engineering technologies to accelerate Turnitin’s AI R&D efforts. Automate low-value tasks and enable faster time to market and better reusability of new AI initiatives.
• Collaboration: Partner with AI R&D teams and the Data Platform Team in collecting, creating, curating, and maintaining high-quality AI datasets. Ensure alignment and integration of data architecture and data models across different products and platforms.
• Strategic Contribution: Serve as a thought leader in AI and data science, advising Turnitin’s senior leadership on how to leverage AI-driven data engineering to create future-proof data strategies and activate data to build a hybrid data engineering platform.
• Hands-on Involvement: Engage in data engineering and data science tasks as required to support the team.  Lead external data collection efforts – including state-of-the-art prompt engineering techniques – to support the construction of state-of-the-art AI models.
• Innovation: Drive data innovation through research and development to unearth insights from Turnitin’s rich data resources.
• Communication: Ensure clarity of the company’s vision and mission across the team and foster excellent communication within the organization.
• Continuous Learning: Stay updated on new tools and development strategies, and bring innovation recommendations to leadership.

• At least 5 years of experience in data engineering and data science, ideally focused on enabling and accelerating AI R&D.
• At least 2 years of experience in a managerial or technical leadership role, with responsibility covering large cross-functional projects.
• Strong proficiency in Python, Java, and SQL.
• Strong 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.
• Expertise in interacting with and prompting cutting-edge Large Language Models (LLMs) and LLM APIs.
• Strong problem-solving, analytical, and communication skills, and the ability to thrive in a fast-paced, collaborative environment.

Location: Remote

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