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Remote MLOps Consultant
Scopic Software
posted 3+ weeks ago
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Job Description
- Design and implement automated, scalable, and reproducible MLOps pipelines. \u2028
- Collaborate with data scientists, machine learning engineers, and DevOps teams to align ML models with production systems. \u2028
- Develop and deploy CI/CD pipelines specifically tailored for machine learning models and AI agents. \u2028
- Design infrastructure to support AI agent workflows, including data ingestion, model orchestration, and multi-agent systems. \u2028
- Establish robust monitoring, logging, and alerting mechanisms for deployed models. \u2028
- Guide and train the DevOps team on MLOps frameworks, best practices, and tooling. \u2028
- Introduce and manage version control for data, models, and pipelines. \u2028
- Ensure compliance with security and governance requirements throughout the AI/ML lifecycle. \u2028
- Document processes and workflows to support knowledge transfer and long-term sustainability. \u2028
Required Qualifications:
- 2+ years of proven experience in MLOps, including model deployment, monitoring, and automation. \u2028
- Strong background in DevOps practices and tools (e.g., Docker, Kubernetes, Terraform, CI/CD). \u2028
- Knowledge of CI/CD tools like Jenkins, GitLab CI/CD. \u2028
- Proficiency in machine learning lifecycle management tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). \u2028
- Solid programming skills in Python and familiarity with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). \u2028
- Experience with the main cloud platforms, particularly with AWS \u2028
- Familiarity with data pipeline tools and frameworks, such as Apache Airflow or Kubeflow. \u2028
- Excellent communication skills to effectively mentor and collaborate with technical teams. \u2028
- Ability to assess, architect, and implement MLOps solutions tailored to business needs. \u2028
Employment Type: Full Time, Permanent
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