MLOps/LLMOps Engineer
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Key skills for this role
About the Role
Seeking a Senior MLOps/LLMOps Engineer with 4+ years of experience to build and manage ML pipelines, automate deployment with CI/CD, and ensure model governance. Must have Kubernetes, Docker, and ML framework expertise.
Key Skills for This Role
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
- Minimum 4 years of experience in MLOps/LLMOps
- Experience with Kubernetes and Docker
- Proficiency in CI/CD tools (GitLab, Jenkins, Azure DevOps)
- Knowledge of ML frameworks (TensorFlow, PyTorch)
- Knowledge of LLM serving and optimization
Full Job Posting
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
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