Remote DevOps Engineer (MLOps) | WFH Opportunity

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Job Overview

The Remote DevOps Engineer (MLOps) at Get It - Professional Services will play a pivotal role in enhancing our machine learning operations within a collaborative, innovative environment. This position involves the integration of development and operational processes to streamline the deployment and monitoring of machine learning models. The ideal candidate will work closely with data scientists, software engineers, and stakeholders to optimize data pipelines, automate workflows, and ensure the scalability and reliability of ML applications using the best practices in DevOps.

Job Responsibilities

• Design and implement CI/CD pipelines for ML workflows to automate the deployment and monitoring processes.
• Collaborate with data science teams to create reproducible ML models and data processing pipelines.
• Manage infrastructure as code leveraging tools such as Terraform and Kubernetes.
• Monitor system performance and troubleshoot issues to ensure high availability and reliability of ML services.
• Document processes, architecture, and workflows to enable knowledge sharing among team members.
• Continuously evaluate and improve existing infrastructure and deployment processes.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Previous experience in DevOps, specifically within the context of machine learning operations.
• Proficiency with cloud platforms such as AWS, Google Cloud Platform, or Azure.
• Strong scripting skills in languages like Python or Bash.
• Experience with containerization technologies such as Docker and orchestration using Kubernetes.
• Familiarity with CI/CD tools like Jenkins, GitLab CI, or similar.

Technologies & Tools

In this role, the candidate will be expected to utilize a variety of technologies and tools that are essential for MLOps. Notable technologies include cloud service platforms (AWS, GCP, Azure), containerization tools such as Docker and orchestration systems like Kubernetes. Familiarity with source control management tools such as Git, CI/CD systems like Jenkins, and configuration management tools such as Ansible or Terraform will also be integral to daily operations.

Ideal Candidates

The ideal candidate for this position is someone who is proactive, detail-oriented, and possesses strong problem-solving capabilities. They should have excellent communication skills to effectively collaborate with cross-functional teams and stakeholders. A passion for continuous learning and adapting to new technologies is crucial, as is the ability to thrive in a fast-paced, dynamic work environment. Candidates who demonstrate a strong commitment to best practices in software development and operational excellence will fit well within our team.