Develop and optimize large language models for NLP tasks, conduct research, collaborate with teams, and communicate technical concepts. Requires a strong background in machine learning and active involvement in model deployment and performance evaluation.
We are seeking an experienced Mid/Mid+ Data Scientist with expertise in Large Language Models (LLMs) such as GPT, Claude, and related technologies to join our team in Ukraine. The ideal candidate will have a strong background in natural language processing (NLP), machine learning, and deep learning models. They will play a critical role in developing and deploying cutting-edge LLM applications to drive innovation across our product lines.
Responsibilities:
- Design, develop and optimize Large Language Models for various NLP tasks such as text generation, summarization, translation, and question-answering
- Conduct research and experiments to push the boundaries of LLM capabilities and performance
- Collaborate with cross-functional teams (engineering, product, research) to integrate LLMs into product offerings
- Develop tools, pipelines and infrastructure to streamline LLM training, deployment and monitoring
- Analyze and interpret model outputs, investigate errors/anomalies, and implement strategies to improve accuracy
- Stay current with the latest advancements in LLMs, NLP and machine learning research
- Communicate complex technical concepts to both technical and non-technical stakeholders
- MS or PhD degree in Computer Science, Data Science, AI, or a related quantitative field
- 4+ years of hands-on experience developing and working with deep learning models, especially in NLP/LLMs
- Expert knowledge of Python, PyTorch, TensorFlow, and common deep learning libraries
- Strong understanding of language models, attention mechanisms, transformers, sequence-to-sequence modeling
- Experience training and fine-tuning large language models
- Proficiency in model deployment, optimization, scaling and serving
- Excellent problem-solving, analytical and quantitative abilities
- Strong communication skills to present technical information clearly
- Ability to work collaboratively in a team environment
- Fluency in Ukrainian and English
Preferred:
- Research experience in LLMs, NLP, machine learning
- Experience working with multi-modal data (text, image, audio)
- Knowledge of cloud platforms like AWS, GCP for model training
- Understanding of MLOps and production ML workflows
- Background in information retrieval, knowledge graphs, reasoning
Top Skills
AWS
GCP
Python
PyTorch
TensorFlow
Similar Jobs
Big Data • Software
Data Scientists at QuantCo will analyze data, build machine learning models, and communicate results to stakeholders, aiming for impactful solutions.
Top Skills:
Cloud InfrastructureGitSQLTensorFlow
Sports
Develop and improve machine learning and statistical models for sports betting products, collaborating with teams to enhance performance and deploy models.
Top Skills:
AWSPythonSQL
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
As a Global Consumer Website Technical Analyst, you'll provide expertise in web technologies, overseeing governance, resolving complex issues, and facilitating web projects and processes.
Top Skills:
ContentfulGa/GtmGcp Cloud ServicesGoogle AnalyticsNode.jsOnetrustReact
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
