Description

Develop and deploy machine learning solutions in Azure, translating business requirements into technical implementations.

This role is on-site.

Responsibilities

• Perform data preprocessing, feature engineering, and dimensionality reduction for complex datasets.
• Apply supervised, unsupervised, deep learning, reinforcement learning, and NLP techniques to real-world applications.
• Collaborate with cross-functional teams to implement and optimize algorithms.
• Manage code versioning using Git and follow agile software development methodologies.

Required Skills

• 10+ years of experience as a Machine Learning Engineer or in a similar role.
• Proficiency in Python, R, or Java.
• Hands-on experience with Azure and Azure ML.
• Strong knowledge of Machine Learning, TensorFlow, and PyTorch.
• Understanding of supervised and unsupervised learning, deep learning, and natural language processing.
• Docker and Kubernetes experience.
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• Clinical background experience.

Key Skills

Education

Bachelor's or Master's degree