▸ Strong knowledge of Python and ML libraries (TensorFlow, PyTorch, scikit-learn, transformers, etc.)
▸ Experience with LLM APIs (OpenAI, HuggingFace, Together AI, and others)
▸ Understanding of NLP, generative models, classification, clustering, and recommender systems
▸ Hands-on experience with ML pipelines, CI/CD, and MLOps tools (MLflow, DVC, Kubeflow)
▸ Proficiency with SQL/NoSQL databases and data storage systems
▸ Knowledge of DevOps practices and cloud platforms (AWS, GCP, Yandex Cloud)
Motivation to create real AI products that bring business value — not just "models for the sake of models"