Remote DevOps - MLOps Consultant

April 21

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Scopic

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Software Development • AI • Digital Marketing

Scopic is a software development company specializing in custom software solutions, mobile and web development, AI consulting, and digital marketing services. With expertise in various technologies such as PHP, Node. js, and AWS, Scopic caters to diverse industries including healthcare, finance, and education. They focus on transforming client ideas into innovative applications while ensuring high-quality user experiences and effective marketing strategies.

201 - 500 employees

Founded 2006

📋 Description

• This is a remote position. • As a DevOps/MLOps Consultant, you will be responsible for creating and optimizing MLOps workflows, ensuring efficient model publishing, scaling, monitoring, and continuous improvement. • Your work will play a key role in streamlining AI development and deployment processes. • Design and implement automated, scalable, and reproducible DevOps/MLOps pipelines. • Collaborate with data scientists, machine learning engineers, and DevOps teams to align ML models with production systems. • Develop and deploy CI/CD pipelines for machine learning models and AI agents. • Design infrastructure to support AI agent workflows, including data ingestion, model orchestration, and multi-agent systems. • Establish robust monitoring, logging, and alerting mechanisms for deployed models. • Introduce and manage version control for data, models, and pipelines. • Document processes and workflows to support knowledge transfer and long-term sustainability.

🎯 Requirements

• 2+ years of proven experience in MLOps, including model deployment, monitoring, and automation. • Strong background in DevOps practices and tools (e.g., Docker, Kubernetes, Terraform, CI/CD). • Knowledge of CI/CD tools like Jenkins, GitLab CI/CD. • Proficiency in machine learning lifecycle management tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). • Solid programming skills in Python and familiarity with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). • Experience with the main cloud platforms, particularly with AWS. • Excellent communication skills to effectively mentor and collaborate with technical teams. • Ability to assess, architect, and implement MLOps solutions tailored to business needs.

🏖️ Benefits

• Paid training and other professional opportunities. • Annual pay increases for good performance.