Ramat Gan
Full time
What will your job look like:
- Design and optimize algorithms and pipelines for large scale model inference
- Build scalable systems for high throughput data processing and streaming
- Develop data transformation and preprocessing components for ML workloads
- Improve performance, efficiency, and reliability across distributed inference systems
- Work closely with ML researchers, infrastructure, and platform teams
- Drive architectural decisions for production ML and data systems
All you need is:
- 5+ years of experience in Algorithm Engineering, ML Infrastructure, or Data Systems
- Strong programming skills in Python
- Hands on experience with Spark, Polars, Pandas, DuckDB, and AWS
- Strong understanding of distributed systems, scalability, and performance optimization
- Experience building or supporting ML inference pipelines in production
- Strong system design and architecture skills
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