Principal Python Engineer β€” AI Data Pipelines (Remote) in Gold Coast

Principal Python Engineer β€” AI Data Pipelines (Remote) in Gold Coast

Gold Coast Full-Time 108000 - 132000 $ / year (est.) Remote
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At a Glance

  • Tasks: Design and implement data pipelines for cutting-edge AI projects.
  • Company: Alignerr, a leader in ML infrastructure with a remote-first culture.
  • Benefits: Flexible contract, competitive pay, and the chance to work on impactful AI solutions.
  • Other info: Fully remote role with opportunities for professional growth.
  • Why this job: Join a team shaping the future of AI with your Python expertise.
  • Qualifications: Proven experience in Python and strong architectural decision-making skills.

The predicted salary is between 108000 - 132000 $ per year.

Alignerr is seeking a Principal Python Engineer for ML infrastructure in a fully remote, flexible contract role based around Sydney.

You will design and implement data pipelines, annotation tooling, and evaluation systems used by leading AI labs at scale.

You'll work on high-performance Python systems in distributed environments, focusing on reliability, performance, and safety across production codebases.

The role suits a senior engineer who can drive architectural decisions and collaborate

Principal Python Engineer β€” AI Data Pipelines (Remote) in Gold Coast employer: Alignerr Corp.

Alignerr offers an exceptional opportunity for finance lecturers to engage in groundbreaking AI projects from the comfort of their own homes. With a fully remote and flexible work environment, you can tailor your schedule to fit your lifestyle while contributing to meaningful advancements in AI-driven financial reasoning. The company fosters a culture of autonomy and global collaboration, providing ample opportunities for professional growth and ongoing contract work.

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Contact Details:

Alignerr Corp. Recruitment Team

We think you need these skills to ace Principal Python Engineer β€” AI Data Pipelines (Remote) in Gold Coast

Python
Machine Learning
Data Pipeline Design
Annotation Tooling
Evaluation Systems
High-Performance Computing
Distributed Systems