Tavus is a company focused on enhancing human-AI interaction through advanced multi-modal AI models and human avatar technology.
The Senior Data Engineer will be responsible for the entire data strategy, including sourcing, curating, structuring, and optimizing data to support AI models and products.
The role requires anticipating future data needs and curating diverse, high-quality datasets to maximize AI model performance.
The engineer will collaborate with ML engineers to optimize datasets for AI effectiveness and will manage large-scale data procurement.
Responsibilities include web scraping, finding unconventional data sources, and ensuring video datasets are structured for machine learning training.
The engineer will also optimize the data labeling process and build automated workflows for efficiency.
Internal data will be leveraged to drive smarter decisions and growth, with an emphasis on maintaining speed and precision in data handling.
Requirements:
Candidates must demonstrate the ability to build and maintain data pipelines from scratch.
A proactive approach to owning data strategy and solving data needs is essential.
A strategic mindset is required to anticipate data needs and influence AI development.
Experience with large language models (LLMs) and multimodal data is preferred.
Expertise in automating data workflows for cleaning, structuring, and labeling is necessary.
A strong understanding of the relationship between data quality and AI model accuracy is crucial.
Candidates should be able to balance speed and accuracy in data processing.
The ability to set new standards for data practices is important.
Technical skills in Python, SQL, and large-scale data processing tools are required.
Benefits:
Tavus offers a flexible work schedule and unlimited paid time off (PTO).
Employees receive competitive healthcare benefits and gear stipends.
The company promotes a diverse and supportive team culture, emphasizing shared success.
Tavus encourages personal growth and impact within the team, fostering an environment of learning and collaboration.
The company values diversity and inclusivity, aiming to create a workplace where all backgrounds and skill sets contribute to success.
