Your Qualifications
* University degree in Data Science, Computer Science, Electrical Engineering, or related field (Master's preferred, Bachelor's with 2+ years' experience accepted).
* 1-3 years of hands-on experience in machine learning, including coursework/practical work with NLP or LLMs.
* Proficiency in Python for data analysis (Pandas, NumPy) and basic ML model development (scikit-learn, PyTorch).
* Familiarity with LLM concepts: transformer architectures, prompt engineering, or text generation techniques.
* Foundational understanding of MLOps practices - version control (Git/DVC), containerization (Docker), and cloud deployment basics.