At Bonfy.AI, we're working behind the scenes on game-changing innovations to make AI trustworthy.

Position Overview:

Bonfy.AI is looking for a skilled Data Engineer to support our machine learning operations, focusing on building, maintaining, and enhancing the datasets necessary for training and testing our ML models. The ideal candidate will excel in data architecture and engineering, with a strong emphasis on creating efficient data pipelines for large-scale data processing.

Responsibilities:

• Design and construct robust data pipelines to collect, integrate, and prepare large volumes of data for machine learning.
• Work closely with ML engineers and data scientists to understand their data needs and implement systems that support model training, validation, and deployment.
• Develop and maintain an efficient data warehouse to store and manage data effectively, ensuring data quality and accessibility.
• Implement automated processes for data cleaning, validation, and preprocessing to improve data accuracy and usability for ML purposes.
• Optimize data retrieval and develop dashboards for visualizing data metrics and insights to aid in the ML model development process.
• Assist in the creation and maintenance of a scalable architecture for ML model testing and deployment.
• Troubleshoot and resolve issues in the data pipelines and advocate for improvements to enhance performance and reliability.
• Document all data engineering procedures and create reports for management detailing data usage, data integrity, and the impact of data quality on ML outcomes.

Technical Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
• Minimum of 3 years of experience in a data engineering role, preferably supporting machine learning operations.
• Strong programming skills in Python
• Proficient in SQL and experience with relational databases, query authoring, as well as working familiarity with a variety of databases.
• Experience with data modeling, data warehousing, and building ETL pipelines.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and understanding of data needs for ML model training and testing.
• Strong analytical skills and ability to work with large, complex data sets.
• Excellent problem-solving skills and attention to detail.​​

Additional Requirements:

• Applicants must have legal authorization to work in the United States
• Applicants must be able to work in a hybrid mode at our office located in Mountain View, California.​

If you're passionate about data engineering and ML ops and want to be part of a rapidly growing startup, we would love to hear from you.