Lead Data Engineer (AI/ML)

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

About this kind of role

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

Typically does: A Lead Data Engineer focuses on building and maintaining data pipelines, infrastructure, and systems to support artificial intelligence and machine learning initiatives. This involves designing, developing, and optimizing data storage solutions, ensuring data quality, and collaborating with data scientists and machine learning engineers. They often lead a team of data engineers, providing technical guidance and mentorship. Responsibilities include data modeling, ETL processes, and ensuring scalability and reliability of data platforms.

Tools and skills: Proficiency in programming languages like Python and SQL, experience with cloud platforms (e.g., AWS, Azure, GCP), and familiarity with big data technologies such as Spark, Hadoop, and data warehousing solutions is generally expected.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and experience leading technical teams typically thrive in this role.