[Hiring] Machine Learning Engineer @Libertex Group

Role Description

We are looking for a Senior Machine Learning Engineer who will play a pivotal role in implementing, enhancing, and maintaining our machine learning solutions.

• Work closely with business departments (Sales, Marketing, Products, Payments, Dealing) to understand their needs and translate these into practical, scalable, and robust machine learning solutions.
• Work on projects like LTV prediction, churn prediction, antifraud solutions, uplift modelling, GenAI-applications (AI agents, chatbots, MCP).
• Oversee current solutions, manage improvements if needed, and expand the role of machine learning across the organization.
• Implement new and improve current MLOps practices, laying the foundation for efficient and effective model development, deployment, and monitoring.
• Great understanding of business and where ML solutions can fit and bring value.
• Technological stack - Python, PyTorch, SQL (MSSQL, Postgres), ClickHouse, AWS (Sagemaker, Bedrock, EC2, EKS), Docker, FastApi, Kafka, Airflow.
• Establish and maintain MLOps practices, including version control for models, automated testing, and CI/CD for ML systems.
• Utilise AWS ML (or similar) services for developing and deploying models.
• General understanding of IT infrastructure, various data source types, development processes, etc.
• Great to have previous experience in applying data science tools to mobile apps, gaming, or fintech.
• Intermediate level of English.
• Experience with LLMs (AWS Bedrock, langchain, langgraph, RAG, Agents, MCP).

Qualifications

• Great understanding of business and where ML solutions can fit and bring value.
• Intermediate level of English.
• Experience with LLMs (AWS Bedrock, langchain, langgraph, RAG, Agents, MCP).

Requirements

• Technological stack - Python, PyTorch, SQL (MSSQL, Postgres), ClickHouse, AWS (Sagemaker, Bedrock, EC2, EKS), Docker, FastApi, Kafka, Airflow.
• General understanding of IT infrastructure, various data source types, development processes, etc.
• Great to have previous experience in applying data science tools to mobile apps, gaming, or fintech.

Benefits

• Quarterly bonuses based on Company performance.
• Generous relocation package for the employee and their immediate family.
• Medical Insurance Plan with coverage for the employee and their immediate family from day one.
• 24 working days of annual leave.
• Yearly reimbursement of travel expenses for the employee and family's flight home.
• Corporate events and team building activities.
• Udemy Business unlimited membership & language training courses.
• Professional and personal development opportunities in a fast-growing environment.