Назад
Company hidden
6 часов Π½Π°Π·Π°Π΄

Machine Learning Engineer, Senior (Fintech)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
remote (Global)
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify RU Global, списка ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ с восточно-СвропСйскими корнями
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
/

TL;DR

Senior Machine Learning Engineer (Fintech): Designing, developing, and deploying machine learning models to improve payment performance and reliability within FinteqHub with an accent on optimizing transaction flows and detecting fraudulent activity. Focus on increasing conversion rates, reducing declines and fraud risks, and improving the overall efficiency of payment operations through intelligent automation and scalable ML solutions.

Location: Worldwide

Company

hirify.global continues to expand the team and is looking for a Machine Learning Engineer.

What you will do

  • Develop, train, and deploy machine learning models to support and optimize payment operations.
  • Translate business requirements into ML solutions, working closely with a Product Analyst.
  • Build and improve models for transaction scoring, anomaly detection, fraud detection, and payment routing optimization.
  • Automate decision-making processes using machine learning approaches.
  • Prepare and process data, including feature engineering and building data pipelines.
  • Monitor model performance and continuously improve model quality and reliability.

Requirements

  • 3+ years of experience in Machine Learning.
  • Strong proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, etc.).
  • Experience building and deploying models to production.
  • Solid understanding of statistics and data analysis methods.
  • Experience working with SQL and large-scale data processing.
  • Knowledge of A/B testing principles.
  • Ability to work with business requirements and translate them into ML tasks.

Nice to have

  • Experience with payment systems or fintech products.
  • Experience developing anti-fraud systems.
  • Knowledge of MLOps (CI/CD for models, monitoring, deployment).
  • Experience working with streaming data (e.g., Kafka).

Culture & Benefits

  • Private insurance (depending on contract type).
  • Paid gym membership.
  • Comprehensive Mental Health Program.
  • Free English lessons (online).
  • Local language courses.
  • Upskilling, internal workshops, and participation in professional conferences and corporate events.

Hiring process

  • Learn more about our hiring process – what to expect, how to prepare, and what makes hirify.global different.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’