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Senior Machine Learning Engineer (Fintech)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b1
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Machine Learning Engineer (Fintech): Building and improving machine learning solutions for LTV and churn prediction, antifraud, uplift modelling, and GenAI applications with an accent on scalable model development, deployment, and monitoring. Focus on implementing MLOps practices, integrating AWS ML services, and developing LLM-based agents, chatbots, and RAG systems.

Location: Remote

Company

hirify.global is an online trading technology company operating a platform for stocks, CFDs, commodities, Forex, ETFs, and cryptocurrencies.

What you will do

  • Collaborate with Sales, Marketing, Products, Payments, and Dealing departments to identify business needs and develop scalable machine learning solutions.
  • Build and improve models for LTV prediction, churn prediction, antifraud, and uplift modelling.
  • Develop GenAI applications including AI agents, chatbots, and MCP-based solutions.
  • Oversee existing machine learning solutions and expand ML adoption across the organisation.
  • Establish and improve MLOps practices for model development, deployment, testing, version control, and monitoring.

Requirements

  • Strong understanding of business needs and where machine learning can create value.
  • Proficiency in Python, PyTorch, SQL, MSSQL, PostgreSQL, ClickHouse, AWS SageMaker, Bedrock, EC2 and EKS.
  • Experience with Docker, FastAPI, Kafka, and Airflow.
  • Experience establishing MLOps practices, automated testing, model version control, and CI/CD for ML systems.
  • Understanding of IT infrastructure, data source types, and software development processes.
  • Intermediate English proficiency.

Nice to have

  • Experience applying data science tools to mobile apps, gaming, or fintech.
  • Experience with LLMs, AWS Bedrock, LangChain, LangGraph, RAG, agents, and MCP.

Culture & Benefits

  • Quarterly bonuses based on company performance.
  • Generous relocation package for the employee and immediate family.
  • Medical insurance for the employee and immediate family from day one.
  • 24 working days of annual leave and annual reimbursement of travel expenses for flights home.
  • Udemy Business membership, language training, corporate events, and professional development opportunities.

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