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Machine Learning Engineer

Varonis

Salary not specified
Sep 18, 2025
Remote, US
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Varonis is seeking a skilled ML Engineer to design, build, and deploy advanced ML solutions that drive analytics, anomaly detection, and data classification across enterprise-scale environments

Requirements

  • Strong programming proficiency in Python, familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Hands-on experience with LLMs, prompt engineering, vector embedding techniques, or related technologies
  • Proficiency with big data platforms like Databricks, PySpark, and cloud services (Azure, AWS)
  • Experience with MLOps tools and deployment (CI/CD, containerization, Kubernetes, etc.)
  • Experience with vector DBs, retrieval-augmented generation (RAG) frameworks like Langchain
  • Solid analytical and debugging skills with ability to translate research insights into production code
  • Familiarity with user behavior-based threat detection, anomaly detection, or metadata analytics

Responsibilities

  • Design, build, and deploy ML models for user behavior analytics, anomaly detection, and data classification across enterprise environments
  • Collaborate with data scientists, software and data engineers to integrate ML models into production pipelines, cloud-native environments, on-premises, and Databricks workflows
  • Develop, fine-tune, and evaluate LLMs and prompt engineering solutions for data classification, labeling, and threat analysis features
  • Optimize models using techniques like distillation, quantization, and efficient data structures to boost performance and lower resource cost
  • Build high-performance data inputs using embeddings, vector databases, and distributed training frameworks
  • Manage model lifecycle and performance via MLOps best practices: monitoring, retraining, and deploying updates
  • Conduct experiments and benchmark results in fast-paced, data-intensive environments

Other

  • Bachelor’s degree in computer science, data science, or related field
  • 3+ years of experience in Machine Learning engineering or ML-adjacent roles (data science, MLOps, AI)
  • Prior experience working on cybersecurity or data protection products
  • Statistical modeling and prompt evaluation ability (e.g., response coherency, relevance)
  • Varonis is an equal-opportunity employer