Machine Learning Engineer

About Us: Zenity is the first and only holistic platform built to secure and govern AI Agents from buildtime to runtime. We empower organizations to unlock AI capabilities while staying protected, compliant, and in control. Our platform is trusted by leading Fortune 500 companies and offers centralized visibility, vulnerability management, and policy enforcement across AI-driven systems. With $38M raised in Series B funding, we are scaling fast and looking for mission-driven individuals to join us in securing the AI revolution.

About the Role: We are seeking a Senior Data Engineer to own and scale Zenity’s data platform infrastructure.

• Lead the architecture and implementation of high-throughput, low-latency data pipelines across teams.
• Support cutting-edge GenAI and cybersecurity use cases.
• Be part of the Data and AI Algorithms group.
• Collaborate closely with AI/ML engineers, architects, development teams, and security researchers.
• Ensure the availability, reliability, and agility of our data infrastructure.
• Help define best practices for data modeling and orchestration at scale.
  
  

• 6+ years of hands-on experience in building and operating distributed data systems at scale.
• Production experience with big-data distributed systems such as Apache Spark and Ray
• Production experience in AI/ML model deployment and monitoring
• Hands-on with modern data lakes and open table formats (Delta Lake, Apache Iceberg)
• Strong coding skills in Python. Strong CI/CD and infrastructure-as-code capabilities.
• Experience with cloud-native data services (e.g., AWS EMR, Athena, Azure Data Explorer etc.).
• Familiarity with orchestration tools like Airflow, Kubeflow, Dagster or similar
• Excellent communication skills, ownership mindset, and problem-solving capabilities.
• Experience in data modeling for analytics, AI/ML, and real-time application is a an advantage
• Experience in stream processing (e.g., Kafka, Flink) and batch data systems is an advantage