Senior Machine Learning Engineer
New
Z
ZscalerCybersecurity
Remote (USA)Full-TimeSenior
Salary115,500 - 165,000 USD per year
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Job Details
- Experience
- 3+ years of professional Python development
- Required Skills
- AWSPythonSQLNumpyPandasCI/CDLangChain
Requirements
- Build LLM-powered agents in production, including tool and function calling, prompt and context engineering, and multi-step orchestration.
- Use LangGraph, LangChain, or equivalent orchestration frameworks.
- Evaluate non-deterministic model output against ground truth.
- Have 3+ years of professional Python development experience.
- Design and maintain production-quality systems with validated inputs, data contracts, and comprehensive unit and integration tests.
- Have hands-on expertise with SQL and Python data analytics libraries such as pandas, Polars, or NumPy.
- Own production reliability, including CI/CD, containerization, structured logging and metrics, observability, alerting, on-call participation, and incident debugging.
- Have familiarity with cloud and infrastructure-as-code in an AWS environment.
- Demonstrate senior-level ownership and leadership of projects, development, and testing.
- Preferred: experience with production AI or ML systems balancing cost, latency, and accuracy, including model selection, routing, and regression testing.
- Preferred: background in cyber threat research, threat modeling, threat hunting, detection engineering, or data-driven risk analysis.
- Preferred: data-engineering experience with large-volume event-data pipelines, SQL, columnar or search-backed stores, schema evolution, backfills, and data-quality validation.
Responsibilities
- Translate risk-identification methods into agent logic for risk analysis, explanations, and recommendations.
- Collaborate with threat-research teams to understand data, threats, and security heuristics.
- Identify data requirements for analysis and collaborate with data-engineering teams on pipelines, enrichments, and aggregations.
- Apply backtesting, precision-recall balancing, tuning, and quality control to threat detection.
- Deploy and monitor solutions in production using the CI/CD framework.
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