Description

Build and maintain infrastructure to deploy, monitor, and scale machine learning models. You will collaborate with data scientists and software engineers to ensure error-free model delivery.

Responsibilities

• Build scalable machine learning pipelines in collaboration with data scientists and software engineers.
• Develop automated processes for model training, testing, and deployment.
• Implement CI/CD practices and version control to ensure error-free model delivery.
• Monitor model performance and establish processes for retraining and updating models.
• Design data pipelines to ensure high-quality data for training and testing.

Required Skills

• 3+ years of experience in software engineering, data engineering, or machine learning engineering.
• Proficiency in Python, Java, or Scala.
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with DevOps tools including Kubernetes, Docker, or Jenkins.
• Strong understanding of machine learning concepts and model deployment.
• Experience with SQL and NoSQL databases.

Preferred Skills

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

Key Skills

Education

Bachelor’s or Master’s degree