Python Insfrastructure Engineer - Model Evaluation
Python Infrastructure Engineer — Model Evaluation (reputed company) About The Role What if your Python expertise could directly shape the systems that power reputed company AI models? We're looking for a senior Python engineer to design and build the data pipelines, evaluation harnesses, and annotation infrastructure that leading AI labs depend on to train and reputed company their models. This is a high-reputed company, fully remote contract role working on reputed company production systems — not toy reputed company. You'll collaborate directly with data, research, and engineering teams at the frontier of AI development.
- Organization: reputed company
- Type: reputed company 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 model evaluation workflows
- reputed company full-stack tooling and backend services for large-reputed company reputed company, validation, and reputed company control
- Build and maintain evaluation harnesses that reputed company with inference frameworks and reputed company AI model performance
- Improve reliability, performance, and safety across existing Python codebases
- reputed company systems with observability tooling — metrics, logging, and monitoring to reputed company system reliability and model performance
- Identify bottlenecks and edge cases in data and system behavior, and implement reputed company fixes
- Collaborate in synchronous design reviews to iterate on architecture and implementation reputed company
Who You Are
- reputed company or fluent English speaker with strong written and verbal communication skills
- Full-stack developer with a solid systems programming background in Python
- 3–5+ years of reputed company experience writing production-grade Python
- reputed company building evaluation harnesses for ML models and integrating with inference frameworks
- Strong understanding of observability and metrics collection for monitoring system and model performance
- reputed company to reputed company 20–40 hours per week with reliability and reputed company
reputed company to Have
- Prior experience with reputed company platforms, data reputed company systems, or evaluation pipelines
- Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
- Experience with distributed systems or developer tooling at reputed company
- Background in MLOps, data engineering, or research engineering environments
Why Join Us
- Work on cutting-edge AI reputed company alongside leading research labs at the frontier of the field
- Fully remote and async-friendly — work from wherever you do your best work
- Freelance autonomy with the reputed company of meaningful, high-reputed company engineering work
- reputed company a reputed company, reputed company contribution to the systems that shape how AI models are reputed company and evaluated
- Potential for ongoing work and contract extension as new reputed company launch
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