MLOps Engineer

Urban Logic · India

About the role

We need a talented professional to help scale our platform.

Your role: - Develop and maintain core services - Optimize performance and reliability - Implement security and testing best practices

Ideal candidate: - Proven track record delivering production systems - Strong analytical skills - Agile methodology experience

What You Will Do As an MLOps Engineer, you will be instrumental in building and managing robust, scalable machine learning pipelines across cloud environments. You will leverage your expertise in AWS and Azure to deploy, monitor, and maintain ML models in production, ensuring high availability and performance. Your responsibilities will include automating infrastructure provisioning with Terraform and ensuring seamless network connectivity for all ML services, contributing directly to the success of our data science initiatives.

Why Join Us Join a forward-thinking team that is passionate about pushing the boundaries of machine learning and cloud innovation. We foster a collaborative and supportive environment where your contributions are valued and your professional growth is a priority, offering significant opportunities to expand your skills in cutting-edge MLOps practices. This fully remote position offers a competitive salary range of 57,400-104,800 CAD, allowing you to excel from anywhere in your region.

Who You Are You are a proactive and analytical MLOps Engineer with a strong aptitude for cloud infrastructure and automation. Your experience with AWS, Azure, and Terraform demonstrates your ability to manage complex deployments, and you possess a solid understanding of networking principles essential for distributed systems. You are a problem-solver who thrives in a remote setting and communicates effectively, eager to build and optimize the ML infrastructure that powers our advanced solutions.

Required skills

About Urban Logic

Cutting-edge AI company transforming industry workflows.

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