- Strong hands-on experience with Python and solid programming fundamentals.
- Experience building and fine-tuning ML/DL models.
- Strong understanding of data preprocessing, feature engineering, and statistics.
- Experience deploying ML models into production.
- Familiarity with LLMs, Prompt Engineering, NLP, Generative AI, or Computer Vision.
- Proficiency in TensorFlow and/or PyTorch.
- Working knowledge of Git and CI/CD pipelines.
- Solid problem-solving and communication skills.