Responsibilities:

Design, build, and deploy artificial intelligence and machine learning models.
Collaborate closely with the data engineering and product teams to turn data into practical solutions.
Optimize models for accuracy, speed, and scalability.
Research and apply the latest advancements in natural language processing (NLP), computer vision, and deep learning.
Document code and algorithms to facilitate knowledge sharing within the team.

Requirements:
 
A Bachelor’s or Master’s degree in computer engineering, data science, artificial intelligence, or a related field.
Strong proficiency in Python.
Hands-on experience with frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn.
Familiarity with NLP, recommender systems, and fraud detection algorithms.
Ability to work with both SQL and NoSQL databases.
Experience with cloud platforms (AWS, GCP, Azure) is a plus.
Team-oriented, creative, and strong problem-solving skills.