Machine Learning Engineer

Job Description
- Proficiency in Python to manipulate data and draw insights from large data sets is a must. - Knowledge of a variety of machine learning techniques (clustering, decision trees, boosting, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of popular ML and non-ML libraries: TensorFlow, Torch, Sklenar, etc. - Solid understanding of machine learning concepts and techniques, particularly in NLP. - Experience on popular NLP and Computer vision libraries is a plus: Spacy, NLTK, OpenCV, … - Knowledge of popular cloud infrastructure: Google Cloud, AWS, Microsoft Azure, … - Experience in code management using Git Secondary Skills - Strong problem-solving skills and the ability to work collaboratively in a team environment. - Excellent written and verbal communication skills. - Experience in leveraging large language models (LLMs) and frameworks such as Lang Chain and Lang Smith for creating and optimizing AI-driven conversational applications