Machine Learning Engineer (relocation to South-Eastern Europe)

Company

• 25+ Years of fintech experience
• 3M+ clients worldwide
• 700+ employees
• 40+ international awards
• 300+ tradable assets

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

What would you be doing:

• 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 such projects like LTV prediction, churn prediction, antifraud solutions, uplift modelling and implementing large language models
• Oversee current solutions, manage improvements if needed, expand the role of machine learning across organisation
• Mentor a team of ML engineers, helping them to enhance their skills and understanding of machine learning methodologies and best practices
• Implement new and improve current MLOps practices, laying the foundation for efficient and effective model development, deployment, and monitoring

Requirements:

• Great understanding of business and where ML solutions can fit and bring value
• Technological stack - Python, PyTorch, PySpark, SQL (MSSQL, Postgres), ClickHouse, AWS (EC2, EKS, EMR), Docker, Kafka, ELK, Airflow
• Establishing and maintaining 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 is a huge plus (OpenAI, AWS Bedrock, langchain)

Benefits:

• Work in a dynamic and fast-paced international company
• Generous relocation package
• Competitive salary
• Comprehensive medical insurance for all family members
• Annual reimbursement of flight home for employee and family
• 21 working days of annual leave plus 14 days public holidays
• Excellent training and development opportunities
• Fun and friendly professional environment
• Rapidly expanding global footprint