Data Science Team Lead (Machine Learning)

Location: Tel Aviv-Yafo, Gush Dan, Israel

Company

hirify.global builds fraud prevention, identity, access management, and AI-agent security products for large enterprises, including SaaS and on-premise platforms.

What you will do

• Lead and mentor a team of data scientists and ML engineers developing fraud detection and response capabilities.
• Build infrastructure, systems, and workflows for designing, training, evaluating, deploying, monitoring, retraining, and optimizing machine learning models.
• Develop real-time model serving, low-latency prediction systems, and customer-specific model training and tuning strategies.
• Build offline AI evaluation frameworks measuring model quality, drift, effectiveness, and business impact.
• Define best practices for model serving, feature engineering, experimentation, observability, and operational excellence.
• Collaborate with Engineering, Product, Security, and Data teams to deliver scalable and reliable AI-powered capabilities.

Requirements

• 5+ years of experience in Data Science, Machine Learning, or Applied AI, including at least 2 years in a leadership capacity.
• Strong hands-on experience building and deploying machine learning models in production.
• Experience with real-time inference, model-serving architectures, and low-latency prediction systems.
• Deep understanding of model training, evaluation, tuning, and monitoring methodologies.
• Experience designing customer-specific machine learning solutions and personalization strategies.
• Strong programming skills in Python and experience with modern machine learning frameworks and tooling.
• Ability to lead technical initiatives and guide teams in fast-paced, production-focused environments.
• Strong analytical, problem-solving, communication, and cross-functional collaboration skills.

Nice to have

• Experience with fraud detection, identity risk, cybersecurity, or behavioral analytics systems.
• Experience with MLOps, data engineering, large-scale data processing, feature stores, stream processing, or real-time data pipelines.
• Familiarity with AWS, GCP, Azure, Kubernetes, Kafka, Spark, Airflow, or similar distributed systems technologies.
• Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related field.

Culture & Benefits

• Work in a production-focused environment protecting millions of users worldwide from fraud and account compromise.
• Values include integrity, entrepreneurial ownership, resilience, continuous growth, collaboration, and customer-centricity.
• Collaborate cross-functionally with internal teams and external customers.