Remote Senior Data Engineer

Description:

• Tavus is a company focused on enhancing human-AI interaction through advanced multi-modal AI models and human avatar rendering.
• 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, ensuring all data processes are efficient and reliable.

Requirements:

• Candidates must have experience building data pipelines from scratch and taking ownership of data strategy.
• A strategic mindset is essential, with the ability to anticipate data needs and influence AI development.
• Previous experience with large language models (LLMs) and multimodal data is preferred.
• Expertise in automating data cleaning, structuring, and labeling workflows is required.
• A strong understanding of the relationship between data quality and AI model accuracy is necessary.
• Candidates should be able to balance speed and accuracy in data processing.
• The role requires the ability to set new standards for data practices and possess technical expertise in Python, SQL, and large-scale data processing tools.

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 and personal impact.
• Tavus encourages learning and growth within the organization, aiming to create a fun and engaging work environment.