Machine Learning Engineer

Austin, TX – Day one on site

Full Time

1. Experience in Python programming using Pandas, NumPy, Scikit, Keras, Tensorflow and similar libraries. Programming under functional and object-oriented paradigm.

2. Knowledge of traditional machine learning algorithms (Random forests/SVM) and deep learning (deep, convolutional, and recurrent networks).

3. Basic data engineering skills, database access, SQL.

4. NLP Domain knowledge.

5. Good experience of LLM, GenAI and Neural Network

6. Good understanding of Linear Algebra and Statistical models.