Senior ML Data Infrastructure Lead

General Motors; Washington; On-site; USD 275,000 - 348,000; Full time

Benefits offered by this job

GM vehicle discounts

Relocation benefits

Tuition assistance

Health and wellness programs

Job summary

General Motors is seeking an experienced leader to guide a team of engineers in building and maintaining scalable ML data infrastructure. You will shape data ingestion, processing, storage, and access patterns, collaborating across ML, data science, and product teams to translate requirements into robust technical solutions.

The role emphasizes Agile practices, architectural leadership, and ongoing evaluation of new technologies to improve data platforms while ensuring security and governance

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 10+ years of experience in data engineering, software development, or a related field with a focus on ML data infrastructure.
• Proven experience in leading and managing technical teams.
• Deep expertise in designing, building, and operating large-scale data systems and analytical platforms.

Responsibilities

• Lead and manage a team of engineers in the design, development, and maintenance of scalable and robust ML data infrastructure, ensuring high performance, reliability, and security.
• Define and implement architectural patterns and best practices for data ingestion, processing, storage, and access within the ML ecosystem, utilizing Agile Methodology.
• Collaborate with ML engineers, data scientists, data platform engineers, and product teams to understand data requirements and translate them into technical specifications for the data infrastructure.
• Conduct in-depth analysis of existing systems, identifying bottlenecks and opportunities for improvement in data pipelines and analytical platforms.
• Utilize strong understanding of data pipeline development and existing and upcoming technologies to design efficient data flows and system architectures.
• Oversee the evaluation and integration of new technologies and tools to enhance the ML data infrastructure capabilities.
• Provide technical guidance and mentorship to junior engineers, fostering a culture of innovation and continuous learning.
• Work with relevant partners to ensure compliance with data governance policies, security standards, and regulatory requirements.
• Participate in strategic planning and road mapping for the ML data infrastructure, aligning with overall company objectives.
• Proactively identify and address potential issues, demonstrating a Detail-Oriented approach to problem-solving.
• Utilize Qualitative Research to understand user needs and inform infrastructure development.

Skills

Leadership

Communication

Detail-oriented

Education

Bachelor's or Master's in CS/Engineering

Tools

Python

Scala

Java

Job description

General Motors is seeking an experienced leader to guide a team of engineers in building and maintaining scalable ML data infrastructure. You will shape data ingestion, processing, storage, and access patterns, collaborating across ML, data science, and product teams to translate requirements into robust technical solutions.

The role emphasizes Agile practices, architectural leadership, and ongoing evaluation of new technologies to improve data platforms while ensuring security and governance