MLOps/LLMOps Engineer
Datascience
Employer Active
Posted on 13 Apr
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Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
Responsibilities: -
- Build and manage MLOps and LLMOps pipelines
- Automate model deployment using CI/CD pipelines
- Monitor model performance, drift, and retraining cycles
- Manage model serving frameworks (e.g., vLLM, TGI, Ray Serve)
- Implement experiment tracking and model versioning
- Ensure governance, reproducibility, and compliance
Requirements: -
Must have minimum 4 years of experience
Experience with Kubernetes, Docker
CI/CD tools (GitLab, Jenkins, Azure DevOps)
ML frameworks (TensorFlow, PyTorch)
Knowledge of LLM serving and optimization
Desired Candidate Profile
Must have minimum 4 years of experience
Experience with Kubernetes, Docker
CI/CD tools (GitLab, Jenkins, Azure DevOps)
ML frameworks (TensorFlow, PyTorch)
Knowledge of LLM serving and optimization
Company Industry
- IT - Software Services
Department / Functional Area
- IT Software
Keywords
- MLOps/LLMOps Engineer
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Datascience