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4 месяца назад

Senior AI/ML Engineer (Fintech)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Cyprus/Estonia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior AI/ML Engineer (Fintech): Designing and productionizing end-to-end machine learning models for client lifetime value, churn prediction, and fraud detection with an accent on MLOps practices, model monitoring, and explainability in regulated contexts. Focus on building robust CI/CD pipelines for ML, ensuring model stability, and translating business problems into pragmatic AI solutions.

Location: Limassol, Cyprus

Company

hirify.global is an award-winning, multi-regulated broker providing access to various asset classes including Forex, Stocks, and Cryptocurrencies.

What you will do

  • Design, develop, and productionize end-to-end ML models including training, validation, deployment, and monitoring.
  • Lead AI use cases for client lifetime value (CLV), churn prediction, and fraud/abuse detection.
  • Establish robust MLOps practices, including CI/CD pipelines, environment promotion, and lifecycle management.
  • Implement model monitoring frameworks to track performance, data drift, and business impact.
  • Ensure model explainability and transparency using techniques such as SHAP and feature attribution.
  • Collaborate with Data Engineering and cross-functional stakeholders to translate business problems into AI solutions.

Requirements

  • 5–8+ years of experience building and deploying ML models in production environments.
  • Strong Python programming skills and solid software engineering fundamentals.
  • Hands-on experience with large-scale data processing using Spark or PySpark.
  • Experience with ML lifecycle tools like MLflow and CI/CD pipelines (GitHub Actions preferred).
  • Strong SQL skills for working with large, complex datasets.
  • Proven ability to deliver AI/ML solutions with measurable business impact.

Nice to have

  • Experience in fintech, trading, or financial services environments.
  • Experience with real-time or streaming ML systems.
  • Familiarity with LLMs, embeddings, or retrieval-augmented generation (RAG).
  • Experience working in regulated environments and implementing model governance frameworks.

Culture & Benefits

  • Attractive remuneration package including 13th salary and discretionary bonuses.
  • Medical insurance covering outpatient, inpatient, and dental care.
  • Professional growth through the Employee Training & Development program.
  • Welfare investment and savings plan through a Provident Fund Scheme.
  • Regular team bonding activities and loyalty benefits.

Hiring process

  • Initial interview with hiring managers or HR.
  • Task assessment.
  • Technical interview or home assignment.
  • Final interview with top management.

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