Informacje o stanowisku
- 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
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.
Praca WarszawaWarszawa - Oferty pracy w okolicznych lokalizacjach
