Must have

• Python

• NLP

• LLM

• Deep learning

• TensorFlow

• PyTorch

• SQL

• English (B2)

• Ukrainian (Fluent)

Nice to have

• AWS

• Docker

Requirements description

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

Offer description

• 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

Your responsibilities

1. Full-cycle data science projects
2. Data analysis and data preparation
3. Development of NLP solutions and AI-based chatbots
4. Developing models and deploying them to production
5. Sometimes, this will require the ability to implement methods from scientific papers and apply them to new domains