
Cloud Machine Learning Engineer Specialist
2 days ago
Job Overview
We are seeking a seasoned professional 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.
Key Responsibilities
- 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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