Machine Learning Deployment Specialist
4 days ago
We are seeking an experienced professional to provide expert guidance and technical support for deploying machine learning models to a secure, scalable, and cloud-hosted environment.
The ideal candidate will have a proven track record of successfully deploying ML models and APIs in cloud-based environments. Additionally, they should have strong knowledge of ML model serving frameworks (TensorFlow Serving, TorchServe, MLflow, Seldon, etc.) and hands-on experience with major cloud providers (AWS, Azure, or GCP). Proficiency in containerization and orchestration (Docker, Kubernetes) is also required. Furthermore, the candidate should be familiar with DevOps tools and principles (GitLab CI/CD, Jenkins, etc.) applied to ML workflows and have a strong understanding of security, compliance, and data governance. Strong communication skills are essential for technical consultation and documentation.
Key Responsibilities:- Assess and improve 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.
- Collaborate with engineering teams to integrate ML components into the overall platform.
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