AI//ML Architect -Data Engineer

About this kind of role

What a AI//ML Architect -Data Engineer usually does. The employer's own details are in the listing.

Typically does: An AI/ML Architect - Data Engineer designs and builds data infrastructure to support artificial intelligence and machine learning initiatives. This involves creating data pipelines, ensuring data quality, and optimizing data storage and retrieval for efficient model training and deployment. They collaborate with data scientists, engineers, and business stakeholders to understand data needs and translate them into technical solutions. They also focus on scalability, security, and reliability of the data systems.

Tools and skills: Proficiency in cloud platforms (like AWS, Azure, or Google Cloud), data warehousing technologies, SQL, Python, data modeling, and machine learning frameworks is generally expected.

Good fit for: Individuals with a strong analytical mindset, a passion for data, and the ability to bridge the gap between data science and engineering often thrive in this role.