Data Scientist

Are you excited by how LLMs and agentic AI are reshaping the way we build with data? We're looking for a data scientist who wants to work at the intersection of applied AI and telecommunications: designing agentic systems, training and fine-tuning models, and taking both from idea to production on a real platform with real users. You'll join a cross-functional team of data scientists, engineers, and domain experts, and you'll have the data, compute, and autonomy to do meaningful work and to help shape how we do it.

• Design and build multi-agent systems
• Own orchestration, observability, and evaluation so these systems are reliable, measurable, and improvable
• Work through the hard parts of LLM-driven software: prompt and tool design, latency and cost, and anticipating failure modes
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• Run full training and fine-tuning loops
• Curate and deduplicate training-scale datasets, and generate synthetic data to fill gaps
• Evaluate models and close the loop by feeding production signals back into the next training cycle

• Move models and systems from prototypes into reliable, maintained services
• Collaborate with data and ML engineers on the pipelines, evaluation, and monitoring that keep them running
• Help raise the bar on quality and share what you learn with the people around you

• Strong experience building ML or AI systems, with a track record of taking work into production
• A good grounding in classical machine learning and hands-on experience with LLMs
• A solid mathematical and statistical foundation, with fluency in Python and SQL, and the ML / data science ecosystem around them
• Clear communication, and the judgement to make good calls when problems are ambiguous
• Experience mentoring others or leading projects end to end
• Background in telecommunications or similarly large-scale, real-world data
• Business acumen and ability to communicate technical developments in business terms

• Working in a dynamic and friendly environment which allows you to grow and develop
• Flexible working hours with the possibility of working remotely
• 25 days off per year
• Competitive salary and participation in the bonus reward system
• Health Package
• Mobile phone with unlimited internet and Family Yettel tariff package
• Recreation or health program
• In-house training and development programs
• Career development opportunities

Please include your references in your CV, as a reference check is an integral part of our selection process.

We hope to meet you soon!