Posted:2 months ago|
Platform:
On-site
Full Time
Experience: 5+ Years
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.
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