Senior Machine Learning Engineer

Libertex Group Poland
Relocation Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Design, implement, and maintain machine learning solutions to drive business growth. Collaborate with cross-functional teams to translate business needs into practical ML solutions. Develop and deploy efficient and effective ML models using AWS services.

Key Highlights
Work closely with business departments to understand their needs
Implement and enhance machine learning solutions
Oversee current solutions and expand the role of ML across the organization
Implement new and improve current MLOps practices
Implement new and support existing LLM projects
Technical Skills Required
Python PyTorch SQL MSSQL Postgres ClickHouse AWS Sagemaker EC2 EKS EMR Docker FastApi Kafka Airflow
Benefits & Perks
Quarterly bonuses based on company performance
Generous relocation package
Medical Insurance Plan
24 working days of annual leave
Yearly reimbursement of travel expenses
Udemy Business unlimited membership
Language training courses
Professional and personal development opportunities

Job Description


Libertex Group Overview 

Established in 1997, the Libertex Group has helped shape the online trading industry by merging innovative technology, market movements and digital trends. 

The multi-awarded online trading platform, Libertex, enables traders to access the market and invest in stocks or trade CFDs with underlying assets being commodities, Forex, ETFs, cryptocurrencies, and others.

A firm believer in the power of sports to inspire, empower and push for success, Libertex is the Official Online Trading Partner of KICK Sauber F1 Team.

We build innovative fintech so people can #TradeForMore with Libertex.


Job Overview 

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

Responsibilities:

  • 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, GenAI-applications
  • Oversee current solutions, manage improvements if needed, expand the role of machine learning across organisation.
  • Implement new and improve current MLOps practices, laying the foundation for efficient and effective model development, deployment, and monitoring.
  • Implement new and support existing LLM projects (chatbots, knowledge base etc).



Requirements

  • Great understanding of business and where ML solutions can fit and bring value
  • Technological stack - Python, PyTorch,, SQL (MSSQL, Postgres), ClickHouse, AWS (Sagemaker, EC2, EKS, EMR), Docker, FastApi, Kafka, 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 (AWS Bedrock, langchain, langgraph, RAG, Agents, MCP)



Benefits

  • Work in a pleasant and enjoyable environment near the Adriatic sea or mountains
  • Quarterly bonuses based on Company performance
  • Generous relocation package for the employee and their immediate family/partner 
  • 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 

Libertex Group is an equal opportunity employer, fostering an inclusive and diverse environment. We do not discriminate based on any characteristic protected by the law. Candidate privacy is respected, and all data is securely stored and used solely for recruitment purposes, in line with GDPR and our internal policies. Unsuccessful applicants may have their data retained for future opportunities unless deletion is requested.


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