ML Platform Engineer (AI)

TL;DR

ML Platform Engineer (AI/Python): Designing and building the infrastructure, ecosystem libraries, and pipelines that power data science initiatives with an accent on model development, monitoring, and maintenance. Focus on optimizing inference via vLLM, fine-tuning models, and integrating ML services into production systems.

Location: Hybrid (Tel Aviv, Israel)

Company

hirify.global is an AI-powered virtual care engine that partners with leading health systems to modernize primary care through clinical AI solutions.

What you will do

• Design, develop, and maintain machine learning ecosystem libraries.
• Build and manage data science code, Docker images, and Kubeflow Pipelines (KFP).
• Create and maintain CI scripts to ensure seamless integration and delivery.
• Collaborate with data scientists to understand and address evolving infrastructure needs.
• Work with software developers to integrate ML models into production systems.
• Leverage latest ML advancements and techniques to enhance company products.

Requirements

• 5+ years in software engineering with experience in backend or platform roles.
• 5+ years of professional experience with Python.
• 2+ years of experience with cloud platforms (GCP preferred) and ML workflow frameworks like KFP or Vertex Pipelines.
• Solid experience in ML/AI development, including expertise with transformers, PyTorch, and CUDA.
• Hands-on experience with inference optimization (vLLM) and fine-tuning (Axolotl/Huggingface).
• Familiarity with Docker and Kubernetes.

Nice to have

• Proficiency in C++, Rust, Java, or Go.

Culture & Benefits

• Hybrid work schedule with team meals and stocked fridges.
• Generous time off: 20 paid vacation days and 18 sick leave days.
• Financial benefits including stock options for all full-time employees and a pension plan.
• Daily food stipend and commuter benefits.
• Vocational Studies Fund and community-focused events.