Senior ML Platform Engineer (AI Engineering)

TL;DR

Senior ML Platform Engineer (AI Engineering): Building and operating a production-grade ML platform for sovereign AI cybersecurity products with an accent on distributed training, model serving, and air-gapped deployment. Focus on designing scalable infrastructure for LLMs, optimizing inference latency, and ensuring reproducible experiment workflows.

Location: Tel Aviv

Company

hirify.global is an AI cybersecurity firm that combines AI and human expertise to protect nations and critical infrastructure through a sovereign AI platform.

What you will do

• Build and operate ML training infrastructure, including distributed pipelines and compute scheduling.
• Own model serving and inference systems, focusing on packaging, autoscaling, and latency/cost optimization.
• Implement feature stores, model registries, and dataset versioning to enable reproducible experiments.
• Develop experiment tracking and evaluation infrastructure with automated evals and drift detection.
• Maintain production pipelines for training, fine-tuning, and serving domain models in mission-critical environments.
• Optimize the ML stack for training throughput and manage compute costs.

Requirements

• 5+ years in software engineering, with 2+ years focused on ML infrastructure, MLOps, or data-intensive systems.
• Strong proficiency in Python, distributed systems design, API design, and CI/CD.
• Experience with model serving frameworks such as Triton, TorchServe, vLLM, or Ray Serve.
• Knowledge of distributed training frameworks like PyTorch or JAX.
• Experience with ML lifecycle tools (MLflow, Weights & Biases) and data pipelines (Spark, Airflow/Dagster).
• Must be based in Tel Aviv.

Nice to have

• Experience operating in on-premise, private cloud, or air-gapped deployments.
• Hands-on experience with Kubernetes, AWS, and Terraform (IaC).
• Expertise in simulation environments, synthetic data generation, or reinforcement learning.
• Background in applied ML or data science.

Culture & Benefits

• Work on mission-critical Sovereign AI products impacting national security.
• High-impact role turning research into reliable, production-grade intelligence.
• Collaborative environment working across Data Platform, AI, and DevOps teams.
• Emphasis on engineering craft, secure coding, and end-to-end production ownership.