Principal TLM, ML Data Infrastructure

What you'll do

• Lead a team of engineers in designing, developing, and maintaining scalable ML data infrastructure.
• Define architectural patterns for data ingestion, processing, storage, and access using Agile Methodology.
• Translate data requirements from ML engineers and data scientists into technical specifications.
• Analyze existing systems to identify and resolve bottlenecks in data pipelines and analytical platforms.
• Evaluate and integrate new technologies to enhance ML data infrastructure capabilities.
• Provide technical guidance and mentorship to junior engineers to foster a culture of innovation.
• Ensure infrastructure compliance with data governance policies, security standards, and regulatory requirements.
• Participate in strategic planning and road mapping for ML data infrastructure to align with company objectives.

What we're looking for

• 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.
• Proficiency in multiple Computer Languages relevant to data engineering such as Python, Scala, or Java.
• Strong understanding of Artificial Intelligence (AI) and Machine Learning (ML) concepts and their data requirements.
• Solid understanding of Agile Methodology and experience working in an agile environment.
• Previous experience in Robotics or Autonomous Driving (preferred).