Machine Learning Engineer

Job Summary

To develop, deploy, and optimize machine learning models for various applications, the remote Machine Learning Engineer will leverage expertise in supervised and unsupervised learning algorithms, neural networks, and natural language processing (NLP), utilizing Python, R, SQL, and cloud technologies such as Microsoft Azure.

Key responsibilities

• Develop and optimize machine learning models using supervised and unsupervised learning techniques
• Implement and manage model deployment processes through DevOps and MLOps practices
• Utilize machine learning frameworks like TensorFlow, Keras, and PyTorch to enhance model performance

Required qualifications

• Proficiency in supervised and unsupervised learning algorithms
• Experience with neural networks and natural language processing (NLP)
• Strong programming skills 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