Senior Data Scientist (LLMs)

Are you a seasoned Engineer with a passion for data and AI? Join our team of innovators, where you'll be at the forefront of a cutting-edge, industry re-defining project that uses generative AI and scalable integration to create value for our clients and partners.
If you're ready to make an impact in an innovative environment and solve real-world problems, we want to hear from you!

#LI-DNI#EasyApply

Responsibilities

• Design and implement data science solutions using Python, ensuring comprehensive testing and error handling with various frameworks and libraries
• Develop data processing modules for GenAI applications, focusing on use cases like summarization and chatbots
• Create and implement APIs to connect data and AI services with other platforms and applications
• Discover and adopt new AI technologies and methodologies to enhance our products and services
• Construct and evaluate prototypes and systems to handle large-scale multilingual datasets
• Collaborate with internal and external stakeholders to comprehend their needs and deliver solutions that add value
• Work alongside other developers and engineering teams to ensure delivery of high-quality and scalable solutions

• 4+ years of experience in data and AI-focused Python development
• Experience with advanced LLM orchestration patterns and frameworks (LangChain, OpenAI)
• Knowledge and hands on experience working with RAG frameworks
• Sound applied knowledge about machine learning, NLP and statistics
• Strong experience with Python, including numerical packages (NumPy), data handling (pandas), machine learning (e.g. scikit-learn)
• Knowledge in deep learning packages (e.g., TensorFlow, PyTorch)
• Experience with implementing solutions in cloud environments: Azure or AWS
• Understanding design patterns and system design

• We gather like-minded people:
  • Engineering community of industry professionals
  • Friendly team and enjoyable working environment
  • Flexible schedule and opportunity to work remotely within Poland
  • Chance to work abroad for up to 60 days annually
  • Relocation within our 50+ offices
• We provide growth opportunities:
  • Outstanding career roadmap
  • Leadership development, career advising, soft skills, and well-being programs
  • Certification (GCP, Azure, AWS)
  • Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru
  • English classes
• We cover it all:
  • Stable income (Employment Contract or B2B)
  • Participation in the Employee Stock Purchase Plan
  • Benefits package (health insurance, multisport, shopping vouchers)
  • Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more
  • Referral bonuses
  • Corporate, social and well-being events
• Please, note:

• The set of bonuses might vary based on the role you apply for - specifics will be discussed with our recruiter during the general interview
• We will reach out to selected candidates exclusively