DevOps Architect with MLOPs Experience

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Written by AI from the job title and company, not by ActiveSoft, Inc, so some details may not match this job. The employer's own page has the real description.

Job Overview

ActiveSoft, Inc. is seeking a skilled and dynamic DevOps Architect with MLOps experience to join our innovative team. This position requires a proficient professional who will be responsible for designing, implementing, and managing cloud infrastructure and automated deployment pipelines for machine learning models. The ideal candidate will work closely with development, operations, and data science teams to ensure seamless integration and delivery of robust, scalable, and high-quality solutions that support our business objectives.

Job Responsibilities

• Design and implement cloud-based architectures to support MLOps workflows.
• Collaborate with data scientists and developers to optimize deployment processes for machine learning models.
• Automate continuous integration and continuous delivery (CI/CD) pipelines to facilitate rapid software releases.
• Monitor and maintain the performance and availability of production systems.
• Implement infrastructure as code (IaC) principles to manage deployments efficiently.
• Facilitate the provision of data and resources for machine learning processes.
• Provide technical leadership and mentorship to team members on DevOps and MLOps best practices.
• Evaluate and recommend tools and technologies to improve deployment and monitoring systems.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• A minimum of 5 years of experience in a DevOps or similar engineering role.
• Proficiency in cloud platforms such as AWS, Azure, or Google Cloud.
• Hands-on experience with MLOps frameworks and tools.
• Strong knowledge of CI/CD technologies (e.g., Jenkins, GitLab CI/CD, CircleCI).
• Expertise in automation and configuration management tools (e.g., Terraform, Ansible, Chef).
• Familiarity with Docker, Kubernetes, and microservices architectures.
• Experience with monitoring tools (e.g., Prometheus, Grafana, ELK stack).
• Excellent problem-solving, communication, and collaboration skills.

Technologies & Tools

The DevOps Architect at ActiveSoft, Inc. will utilize a diverse set of technologies and tools including cloud services (AWS, Azure, Google Cloud), containerization tools such as Docker and Kubernetes, configuration management tools like Terraform and Ansible, CI/CD tools (e.g., Jenkins, GitLab CI/CD), and monitoring solutions (e.g., Prometheus, ELK stack). Familiarity with machine learning frameworks and libraries will also be beneficial as this role involves supporting MLOps capabilities.

Ideal Candidates

The ideal candidates for this position are those who possess a blend of deep technical expertise and practical experience in both DevOps and MLOps. They should exhibit strong analytical and critical thinking skills, along with a passion for automation and optimization. Effective communication skills are essential for collaboration within multidisciplinary teams. A proactive approach to problem-solving and the ability to adapt in a fast-paced, ever-evolving environment are also key characteristics that define a successful candidate for this role at ActiveSoft, Inc.