MLOps/LLMOps Engineer

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    "datePosted": "2026-04-13",
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    "description": "<p>Responsible for operationalizing AI models, ensuring scalable, reliable, and automated deployment of ML and LLM solutions across environments.</p>\n<p><br></p>\n<p>Responsibilities: -</p>\n<p><br></p>\n<p>- Build and manage MLOps and LLMOps pipelines<br>- Automate model deployment using CI/CD pipelines<br>- Monitor model performance, drift, and retraining cycles<br>- Manage model serving frameworks (e.g., vLLM, TGI, Ray Serve)<br>- Implement experiment tracking and model versioning<br>- Ensure governance, reproducibility, and compliance</p>\n<p><br></p>\n<p>Requirements: -</p>\n<p><br></p>\n<p>Must have minimum 4 years of experience</p>\n<p>Experience with Kubernetes, Docker</p>\n<p>CI/CD tools (GitLab, Jenkins, Azure DevOps)<br>ML frameworks (TensorFlow, PyTorch)<br>Knowledge of LLM serving and optimization</p>",
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