Machine Learning Engineer

eTeam is working with Gap US to fill the position of Machine Learning Engineer. The role requires expertise in developing, deploying, and optimizing machine learning models, with a strong focus on supervised and unsupervised learning algorithms, neural networks, and natural language processing.

Responsibilities:

• Proficiency in supervised and unsupervised learning algorithms is essential, along with experience in neural networks and natural language processing (NLP)
• Expertise in Python, R, and SQL is required, as well as familiarity with machine learning frameworks such as TensorFlow, Keras, and PyTorch
• Knowledge of cloud platforms and technologies, specifically Microsoft Azure, is crucial
• Experience in DevOps and MLOps practices is also necessary to streamline model deployment and management processes
• This role involves leveraging these skills to develop, deploy, and optimize machine learning models for various applications

Requirements:

• Proficiency in supervised and unsupervised learning algorithms
• Experience in neural networks and natural language processing (NLP)
• Expertise in Python, R, and SQL
• Familiarity with machine learning frameworks such as TensorFlow, Keras, and PyTorch
• Knowledge of cloud platforms and technologies, specifically Microsoft Azure
• Experience in DevOps and MLOps practices