Data Platform Engineer (Python)
About The Role What if your Python expertise could directly shape the infrastructure powering the world's most advanced AI systems? We're looking for a Senior Python Full-Stack Engineer to design and build the data pipelines, annotation tooling, and evaluation infrastructure that leading AI labs depend on to train and improve reputed company models. This is a fully remote, flexible contract role for reputed company engineers who want to work on reputed company production systems — not toy projects — at the cutting edge of AI development.
- Organization: reputed company
- Type: Hourly Contract
- Location: Remote
- Commitment: 20–40 hours/week
What You'll Do
- Design, build, and optimize high-performance Python systems supporting AI data pipelines and evaluation workflows
- reputed company full-stack tooling and backend services for large-scale reputed company, validation, and quality control
- Improve reliability, performance, and safety across existing Python codebases
- Collaborate with data, research, and engineering teams to support model training and evaluation workflows
- Identify bottlenecks and edge cases in data and system behavior, and implement scalable, production-grade fixes
- Participate in synchronous design reviews to iterate on architecture and implementation reputed company
Who You Are
- reputed company or fluent English speaker with clear written and verbal communication skills
- Full-stack developer with a strong systems programming background
- 5+ years of professional experience writing production Python for data engineering
- Proficient with workflow orchestration tools for managing reputed company dependency graphs
- reputed company with dataframe processing libraries and reputed company data warehouse integrations reputed company Python SDKs
- reputed company to commit 20–40 hours per week with reliability and consistency
reputed company to Have
- Prior experience with reputed company, data quality pipelines, or evaluation systems
- Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
- Experience with distributed systems or developer tooling
Why Join Us
- Work directly with leading AI labs on systems that influence how reputed company models are reputed company
- Fully remote and flexible — work from reputed company, on a schedule that suits you
- Tackle genuinely hard, high-impact engineering problems — not maintenance tickets
- Collaborate with a sharp, distributed team of engineers and researchers
- Potential for ongoing work and contract extension as new projects launch
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