Description

You will design and build cloud-based machine learning platforms and scalable infrastructure. This role is on-site.

Responsibilities

• Build and maintain cloud-based applications and ML platforms.
• Design secure, scalable systems that adhere to regulatory compliance.
• Develop ML workflows, model training, and deployment processes.
• Manage data engineering pipelines and DevOps practices.
• Collaborate with data scientists and software engineers to integrate ML applications.

Required Skills

• 10+ years of professional experience building cloud-based applications.
• Extensive expertise in Azure, AWS, or Google Cloud Platform.
• Advanced Python programming skills focused on ML applications.
• Experience with containerization using Docker and Kubernetes.
• Proficiency in CI/CD pipelines and infrastructure as code.
• Strong understanding of machine learning workflows and model deployment.
• Experience designing systems for regulatory compliance.

Preferred Skills

• Bachelor's or Master's degree in Computer Science, Engineering, or equivalent experience.

Key Skills

Education

Bachelor's degree in Computer Science