Machine Learning Infrastructure Engineer - Remote

Overview

As a Machine Learning Infrastructure Engineer, you will be responsible for designing, developing, and maintaining the infrastructure that powers our machine learning models. You will work closely with data scientists, engineers, and researchers to ensure seamless integration of machine learning models into our production environment. Your expertise will enable us to scale our machine learning capabilities, improve model performance, and reduce time-to-market.

In Short

• Design and implement scalable machine learning infrastructure.
• Develop and maintain infrastructure as code using Terraform or CloudFormation.
• Implement model serving platforms for efficient deployment.
• Collaborate with data engineers to design data pipelines.
• Develop monitoring and logging solutions for model performance.
• Optimize infrastructure resources and model performance.
• Communicate technical information effectively to stakeholders.
• Stay current with industry trends and best practices.
• Work in a fast-paced environment.
• Participate in professional development opportunities.

Requirements

• Bachelor's or Master's degree in Computer Science or related field.
• 3+ years of experience in machine learning infrastructure or DevOps.
• Experience with cloud providers and containerization.
• Proficiency in programming languages like Python, Java, or C++.
• Experience with machine learning frameworks like TensorFlow or PyTorch.
• Familiarity with IaC tools like Terraform.
• Knowledge of container orchestration tools like Kubernetes.
• Excellent communication and collaboration skills.
• Ability to prioritize tasks effectively.
• Cloud provider certifications are a plus.

Benefits

• Competitive Salary based on experience.
• Stock Options for equity in the company.
• Comprehensive Benefits including health, dental, and vision insurance.
• Professional Development opportunities for growth and training.
• Collaborative Environment with a diverse team.