Description

Are you a DevOps or MLOps expert with a strong background in designing, implementing, and automating MLOps workflows? Do you thrive in both hands-on development and leadership roles? Are you eager to upskill DevOps teams while building scalable infrastructures for ML models and AI agents? If so, we’d love to hear from you!

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.

Key Responsibilities

• 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.

Required Qualifications

• 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.

Note: If you feel strongly that you have what it takes for this role but don’t check 100% of the boxes—that’s okay—we encourage you to apply anyway and highlight what you can bring to the table.