Machine Learning Engineer

We are seeking a Machine Learning Engineer to join our cross-functional team building cutting-edge AI solutions for customer support. You will configure and develop GenAI applications using modern frameworks, bringing ML expertise to create intelligent systems that serve millions of customer interactions monthly.

• Design and implement GenAI solutions from business analysis to A/B testing in production, solving real customer problems
• Develop new GenAI applications and enhance our existing chatbot (1M+ monthly requests) and upcoming support agent copilot.
• Collaborate with stakeholders across all levels - from senior management to support specialists - to achieve business goals.
• Configure LLM applications using LangChain/LangGraph frameworks with a focus on quality and scalability
• Build intelligent algorithms for copilot timing optimisation using time series analysis to determine optimal moments for suggestions.
• Use genetic algorithms to identify the best solutions.
• Create recommendation systems for personalised support suggestions based on agent behaviour and customer context.
• Evaluate and optimise chatbot performance using statistical methods and ML metrics.
• Stay current with GenAI trends and best practices to continually improve our solutions.

• A Bachelor's or Master's degree in Computer Science, Machine Learning, or Artificial Intelligence
• 3+ years in ML/AI development with a strong statistical background
• 1+ year hands-on GenAI/LLM application development experience
• Strong programming skills, proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn)
• ML evaluation metrics and classification task assessment
• Experience with LangChain or similar LLM frameworks
• Understanding of transformer architectures and prompt engineering
• Genetic algorithms or evolutionary optimisation experience
• Predictive modelling and anomaly detection skills
• Strong communication skills for diverse stakeholder interaction
• Self-directed problem solver comfortable with ambiguity
• Open to feedback and collaborative improvement

• LangGraph experience for building agentic applications
• Production experience with OpenAI, Claude, or similar APIs
• Recommendation systems development (collaborative/content-based filtering)
• Vector database implementation (PG-vector, Chroma, Weaviate)
• Customer support or conversational AI domain knowledge
• Experience with A/B testing and experiment design

• Competitive and attractive compensation
• Extensive learning opportunities, such as professional training and certifications, soft skills development, free English courses, and trading workshops
• Flight tickets to Cyprus, hotel or apartment accommodation for your first month, migration support, and legal help for you and your family
• Health and life insurance for employees, spouses, and children, including vaccinations, tests, mental health care, and coverage for vision and dental care
• Generous time off, including 21 days of annual leave and paid sick leave
• Education allowance for your children's school and kindergarten fees 
• Access to our very own sports club with dedicated coaches, free Sanctum Club memberships for you and your spouse, corporate SUPs, jet skis, etc. 
• A branded company car with a parking space near the office
• Outstanding team-building experiences and Exness community gatherings

Your journey after applying:

1. First interview with Talent Acquisition Specialist (up to 45 minutes)
2. Short online English test (for non-native speakers)
3. Technical interview. Live coding + System Design (1 hour)
4. Final interview (1 hour) 
5. Team interview (1 hour) 

Please use your exness work email for internal applications and ensure to disclose any existing Conflict of Interest you may have.