Mid Data Science
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Requirements:
• 3+ years of commercial experience as a Data Science / AI Engineer
• Strong Python skills and solid software engineering fundamentals
• 1+ year of experience with LLM and NLP-related tasks
• Understanding of modern deep learning architectures
• Experience with at least one deep learning framework (TensorFlow or PyTorch)
• Experience with SQL and NoSQL databases
• Good knowledge of Docker
• Strong knowledge of object-oriented programming
• Fluency in Ukrainian
• Upper-Intermediate or higher level of English (spoken and written) Nice to Have:
• Hands-on experience with RAG pipelines and vector databases
• Experience training or fine-tuning LLMs
• Experience with cloud platforms (AWS, Google Cloud, Azure)
• Participation in Kaggle or similar competitions
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