Senior Data Scientist (AI)

Your responsibilities

• Develop cutting-edge AI solutions for real-world legal technology challenges, focusing on innovative applications and improvements.
• Conduct independent research to explore new AI methods, attend industry conferences, and establish frameworks for scientific experimentation.
• Build and optimize LLM-based workflows (e.g., Langchain, AutoGen) to ensure models are transparent and interpretable for legal use cases.
• Design and implement robust research plans to evaluate the effectiveness of NLP and AI systems in legal applications.
• Utilize natural language processing (NLP) to extract specific information from large, unstructured, multi-domain, and multilingual legal documents, with a focus on privacy and security.
• Write high-quality, scalable, and maintainable code for internal applications, such as document drafting, data extraction, and labeling, adhering to best practices.
• Collaborate with legal practice teams, data scientists, and data engineers to create and deploy NLP and AI-based solutions, ensuring alignment with ethical AI practices and compliance with legal regulations.
• Set up and manage model monitoring systems to maintain adherence to legal and ethical standards.

Our requirements

• 5+ years of commercial experience in data science with a strong focus on NLP projects, especially document analysis.
• Advanced skills in Python and deep learning frameworks like PyTorch.
• Proficiency in NLP libraries such as Langchain, Langraph, LlamaIndex, and Hugging Face Transformers.
• Proven experience with large language models (LLMs) and transformer architectures (e.g., Llama3, Gemini), including advanced prompt engineering and fine-tuning techniques like LoRa and QLoRa.
• Knowledge of LLMOps, including deploying, monitoring, and maintaining AI solutions.
• Experience with Azure cloud infrastructure (Azure AI, Azure Machine Learning, Azure Cognitive Services). GCP Vertex AI knowledge is a plus.
• Skilled in using Azure DevOps for version control and project management.

Development opportunities we offer

• conferences abroad
• conferences in Poland
• development budget
• industry-specific e-learning platforms
• intracompany training
• mentoring
• soft skills training
• space for experimenting
• substantive support from technological leaders
• support of IT events
• technical knowledge exchange within the company
• time for development of your ideas

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of professional training & courses
• remote work opportunities
• flexible working time
• integration events