Description

You will develop and deploy machine learning solutions within an Azure environment, translating business requirements into technical architectures.

This role is on-site.

Responsibilities

• Develop and deploy machine learning solutions for real-world applications.
• Perform data preprocessing, feature engineering, and dimensionality reduction.
• Apply supervised, unsupervised, deep learning, reinforcement learning, and NLP algorithms to solve problems.
• Collaborate with cross-functional teams to deliver technical solutions.

Required Skills

• 5 to 7 years of experience as a Machine Learning Engineer or similar role.
• Proficiency in Python, R, or Java.
• Hands-on experience with TensorFlow, PyTorch, or scikit-learn.
• Experience building and deploying models in Azure.
• Solid understanding of machine learning algorithms and concepts.
• Background in clinical environments.
• Experience with version control systems like Git.
• Familiarity with agile software development methodologies.

Preferred Skills

• Experience with Azure cloud platform containerization using Docker or Kubernetes.

Key Skills

Education

Any Graduate