
Senior Cloud MLOps Engineer
3 days ago
We are seeking a seasoned Expert MLOps Consultant to provide expert guidance and technical support for deploying machine learning models to a secure, scalable, and cloud-hosted environment.
This role involves advising on infrastructure design, API deployment strategies, CI/CD pipelines for ML models, and best practices for operationalizing machine learning workflows.
- Review and assess the current ML model deployment setup.
- Recommend suitable cloud platforms and hosting strategies for ML models and APIs.
- Define and implement best practices for MLOps, including version control, monitoring, and retraining workflows.
- Provide guidance on CI/CD pipeline design and automation for ML systems.
- Advise on security, compliance, and data governance in cloud-based environments.
- Collaborate with engineering teams to integrate ML components into the overall platform.
- Deliver documentation, processes, and recommendations for ongoing maintenance and scalability.
Required Qualifications:
- Proven experience in MLOps and cloud-based ML model deployment.
- Strong knowledge of ML model serving frameworks (TensorFlow Serving, TorchServe, MLflow, Seldon, etc.).
- Hands-on experience with major cloud providers (AWS, Azure, or GCP).
- Proficiency in containerization and orchestration (Docker, Kubernetes).
- Familiarity with DevOps tools and principles (GitLab CI/CD, Jenkins, etc.) applied to ML workflows.
- Understanding of security, compliance, and data governance.
- Strong communication skills for technical consultation and documentation.
Nice-to-Have:
- Experience with MATLAB integration in production environments.
- Background in computer vision or image processing systems.
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