1 день назад
Senior ML Evaluation Engineer (AWS Agent Evaluation)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior ML Evaluation Engineer (AWS Agent Evaluation): Building evaluation frameworks and scalable quality pipelines for enterprise AI agents and machine learning systems with an accent on LLM evaluation, deterministic Python-based validation, and observability. Focus on integrating CI/CD quality gates, analyzing production evaluation results, and establishing governance standards for reliable AI outcomes.
Location: Armenia, Bulgaria, Cyprus, Georgia, Kazakhstan, Latvia, Poland, Romania, Serbia, or Ukraine
Company
delivers software engineering and technology solutions through distributed teams working on global projects.
What you will do
- Develop and maintain evaluation frameworks for AI agents and machine learning systems.
- Design LLM-as-a-judge methodologies and custom Python evaluators for deterministic quality and compliance checks.
- Define enterprise quality standards, assessment dimensions, and pass/fail criteria.
- Build evaluation workflows for responses, tool invocations, and end-to-end sessions.
- Integrate OpenTelemetry data and maintain CI/CD quality gates for models and AI agents.
- Analyze evaluation results, support production monitoring, and recommend improvements to reliability and performance.
Requirements
- 5+ years of experience in machine learning engineering or AI platform engineering.
- Hands-on experience designing LLM evaluation frameworks and custom evaluators.
- Experience building CI/CD deployment gates for machine learning models, AI applications, or agent-based systems.
- Strong Python development skills and experience with AI quality metrics, automated testing, and evaluation pipelines.
- Understanding of agent-based architectures and modern AI application development practices.
- Strong analytical, problem-solving, written, and verbal communication skills.
Nice to have
- Experience with AWS Agent Evaluation APIs, including evaluation execution and results analysis.
- Experience integrating AWS Bedrock Guardrails for PII detection and evaluation workflows.
- Experience with CloudWatch metrics, OpenTelemetry, and observability-based monitoring.
- Knowledge of enterprise AI governance and compliance programs.
- Experience evaluating production AI agents and large-scale machine learning systems.
Culture & Benefits
- Work on global projects in a supportive, flexible, and innovative technology environment.
- Vacation and state holidays follow the laws and official calendar of the country of employment.
- Health insurance support for employees and their loved ones.
- Ten sick days are available without a doctor's note; additional sick leave follows local laws.
- IT certification costs, courses, and learning platforms are supported.
- Corporate events, colleague meet-ups, and workplace technical support are provided.
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