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At-Bay is seeking a Machine Learning Engineer to join their team in Tel Aviv. The ideal candidate will leverage their technology and security expertise to enhance the company's understanding of digital risks and improve insurance products and services. This role involves working on the design, development, and management of ML applications, integrating them into production systems, and maintaining data infrastructure.

Responsibilities:

  • Design and develop ML applications and manage their lifecycle.
  • Work with the engineering team to integrate solutions into production systems.
  • Transition machine learning models from research to production.
  • Create, manage, and monitor data infrastructures and tools.
  • Gather and process raw data at scale.
  • Process unstructured data into a suitable form for analysis.

Requirements:

  • 3+ years of experience in SWE, with 2+ years as MLOps or MLE.
  • Strong programming experience in Python and relevant frameworks (PyTorch, Huggingface, AWS etc.).
  • Bachelor’s Degree or higher in Computer Science or other STEM fields.
  • Experience with LLM integration best practices (LLMOps).
  • Experience integrating MLOps tools into existing solutions (experiment trackers, data versioning, CI/CD/CT).
  • Knowledge of Data Science, including deploying and maintaining models.
  • Experience in data mining and machine learning.
  • Experience processing large amounts of structured and unstructured data.

The role offers:

  • Opportunity to work at At-Bay, an insurance company built by cybersecurity experts.
  • Chance to design and develop ML applications and manage their lifecycle.
  • Collaborative environment with the engineering team.
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At-Bay

At-Bay is an InsurSec company, blending insurance with cybersecurity to protect small businesses from digital risks. They offer innovative products, mission-critical security technologies, threat intelligence, and human expertise. Serving approximately 35,000 customers, At-Bay aims to bridge the security gap among SMBs, operating within the $80B InsurSec market. Their approach uniquely combines insurance and security capabilities to offer comprehensive protection.