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Libertex Group

Senior Machine Learning Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Have a strong understanding of business needs and where machine-learning solutions can provide value.
  • Be familiar with Python, PyTorch, SQL (MSSQL and Postgres), ClickHouse, AWS (SageMaker, Bedrock, EC2, EKS), Docker, FastAPI, Kafka, and Airflow.
  • Establish and maintain MLOps practices, including model version control, automated testing, and continuous integration and continuous delivery for machine-learning systems.
  • Use AWS machine-learning services or similar services to develop and deploy models.
  • Have a general understanding of IT infrastructure, data-source types, and development processes.
  • Have intermediate English proficiency.
  • Have experience with large language models, including AWS Bedrock, LangChain, LangGraph, retrieval-augmented generation, agents, and MCP.

Responsibilities

  • Work with Sales, Marketing, Products, Payments, and Dealing departments to understand their needs and translate them into practical, scalable, and robust machine-learning solutions.
  • Work on projects such as lifetime-value prediction, churn prediction, anti-fraud solutions, uplift modelling, and generative-AI applications including AI agents, chatbots, and MCP.
  • Oversee existing solutions, implement improvements when needed, and expand the role of machine learning across the organization.
  • Implement new MLOps practices and improve existing practices to support efficient model development, deployment, and monitoring.

Desired Qualifications

  • Have previous experience applying data-science tools to mobile apps, gaming, or fintech.

About the Company

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