Remote DevOps (MLOps) Engineer | WFH Opportunity

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Job Overview

Get It - Professional Services is seeking a highly skilled Remote DevOps (MLOps) Engineer to support our innovative projects in machine learning and artificial intelligence. In this role, you will be responsible for designing, implementing, and managing the infrastructure and tools necessary for the deployment, monitoring, and optimization of machine learning models in production. You will collaborate with data scientists and software engineers to establish best practices, streamline workflow processes, and ensure the reliability and scalability of our systems while contributing to the growth of our technology-driven initiatives.

Job Responsibilities

• Design, implement, and manage scalable and efficient continuous integration/continuous deployment (CI/CD) pipelines for machine learning applications.
• Automate the deployment and monitoring of machine learning models in various environments using cloud services.
• Collaborate with cross-functional teams to ensure optimal integration of machine learning solutions into existing systems.
• Monitor and maintain the performance of machine learning systems, while troubleshooting issues as they arise.
• Implement data management and governance practices to ensure compliance and data integrity.
• Document workflows, processes, and system architecture to facilitate knowledge sharing and team alignment.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proven experience as a DevOps Engineer, with specific expertise in MLOps.
• Strong understanding of cloud computing platforms (AWS, Azure, or GCP).
• Proficiency in scripting languages (Python, Bash, etc.) for automation purposes.
• Familiarity with container orchestration tools (Docker, Kubernetes).
• Experience with data pipelines and managing large datasets effectively.
• Knowledge of machine learning frameworks (TensorFlow, PyTorch) is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication skills and the ability to work collaboratively in a remote team environment.

Technologies & Tools

The Remote DevOps (MLOps) Engineer will work with a range of advanced technologies and tools, including but not limited to AWS, Azure, or GCP for cloud services; Docker and Kubernetes for containerization and orchestration; Jenkins or GitLab CI for CI/CD pipelines; and Python for scripting and automation tasks. Experience with machine learning frameworks such as TensorFlow or PyTorch is also desirable to effectively manage and deploy machine learning models in production settings.

Ideal Candidates

The ideal candidate for the Remote DevOps (MLOps) Engineer position will possess a strong combination of technical expertise and interpersonal skills. They will be adaptable, detail-oriented, and committed to delivering high-quality results in a fast-paced environment. Strong collaboration and communication skills are essential for working effectively within a remote team, as well as a passion for continuous learning and keeping up with industry advancements in DevOps and machine learning practices. The ability to troubleshoot and think critically will be crucial in ensuring the success of our machine learning initiatives.