Data Science / LLM Engineer @ Quantum

Must have skills:

• 4+ years of commercial experience as a Data Science Engineer
• Strong knowledge of linear algebra, calculus, statistics, and probability theory
• Knowledge and experience with algorithms and data structures
• 2+ years of experience with LLM and Natural Language Processing-related tasks
• Knowledge of modern DL architectures
• Experience with at least one of the Deep Learning frameworks (Tensorflow, PyTorch)
• Experience with SQL
• Strong knowledge of OOP
• At least an Upper-Intermediate level of English (spoken and written)

Nice to have skills:

• Experience with production ML/DL frameworks (OpenVino, TensorRT, etc.)
• Docker practical experience
• Experience with Cloud Computing Platforms (AWS, GCloud, Azure)
• Participation in Kaggle competitions

• Delivering high-end software projects that address real-world problems
• Surrounding experts who are ready to move forward professionally
• Professional growth plan and team leader support
• Taking ownership of R&D and socially significant projects
• Participation in worldwide tech conferences and competitions
• Taking part in regular educational activities
• Being a part of a multicultural company with a fun and lighthearted atmosphere
• Working from anywhere with flexible working hours
• Paid vacation and sick leave days

,[Full-cycle data science projects, Data analysis and data preparation, Development of NLP solutions and AI-based chatbots, Developing models and deploying them to production, Sometimes, this will require the ability to implement methods from scientific papers and apply them to new domains] Requirements: Python, NLP, LLM, Deep learning, TensorFlow, PyTorch, SQL, AWS, Docker Tools: Jira, Github, GitHub, GIT, Agile, Scrum. Additionally: International projects, Free snacks, Free coffee, Startup atmosphere, No dress code.

Kategorie

artificialIntelligence