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Backend Engineer - ML Platform
·Israel
On-siteFull-timeAI EngineeringInsurance
Backend Engineer responsible for designing and building the ML platform that enables data scientists to deliver models. Architect cloud-native microservices, own the ML lifecycle, and collaborate across teams to ensure scalability and reliability.
Responsibilities
- Design and build foundational ML platform and AI agents to accelerate data science model delivery.
- Architect cloud-native microservices running on Kubernetes using infrastructure-as-code to automate model deployment.
- Own end-to-end ML lifecycle including training, testing, deployment, and real-time monitoring.
- Evaluate and choose tools and technologies based on workload demands and performance requirements.
- Collaborate with engineering, data science, and product teams to keep ML projects aligned with business goals.
- Identify and fix reliability, scalability, and performance gaps.
Requirements
- 3+ years of software engineering experience with high-scale, production-grade systems.
- Strong proficiency in Python.
- Hands-on experience with relational and NoSQL databases and at least one major cloud platform (AWS, Azure, or GCP).
- Experience with training, testing, deploying, and monitoring real-time or near real-time ML models in production.
- Fluent with AI-powered development tools like Cursor and Claude Code.
- Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or related field.
- Ready to work in an office environment most days of the week.
Nice to have
- Familiarity with AI concepts like RAG, embeddings, mixture-of-experts, prompt crafting, and LLM context engineering.