Senior MLOps Engineer
1 month ago
Velocity Tech is seeking a highly skilled MLOps Engineer to join their team on a permanent basis. This individual will be responsible for designing, building, and maintaining scalable infrastructure for deploying machine learning models.
The ideal candidate will have proven experience in MLOps or DevOps roles focused on machine learning workflows, with a strong understanding of cloud platforms such as AWS, GCP, or Azure.
Key Responsibilities:
- Design and implement scalable infrastructure for deploying machine learning models.
- Implement and manage MLFlow for tracking experiments, model management, and reproducibility.
- Use Terraform to automate and manage cloud infrastructure.
- Collaborate with data scientists and software engineers to automate workflows, data pipelines, and CI/CD for machine learning projects.
- Ensure the reliability and availability of machine learning services in production.
- Monitor and optimize the performance of models and infrastructure in a cloud environment.
Requirements:
- Proven experience in MLOps or DevOps roles focused on machine learning workflows.
- Strong experience with MLFlow for managing experiments and model lifecycle.
- Proficiency with Terraform for infrastructure-as-code in cloud environments.
- Expertise in cloud platforms such as AWS, GCP, or Azure.
- Experience with containerization (Docker, Kubernetes) and orchestration tools.
- Strong understanding of CI/CD pipelines and automation for ML.
- Proficiency in Python and common ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
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