ML Architect
ML Architect
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1 Vacancy
Job Description
ML Architect). Below is the JD and skills required
- Key Skills - Experience with Azure Machine Learning Azure OpenAI Azure DevOps and AKS.
- Document architecture workflows and best practices for knowledge sharing and compliance.
- Provide technical oversight & Guidelines
- Architect and implement end-to-end MLOps and LLMOps pipelines using Azure Machine Learning and Azure OpenAI.
- Design scalable infrastructure for training deploying and monitoring ML and LLM models in production.
- Collaborate with data scientists and engineers to streamline model development testing and deployment workflows.
- Manage Azure Kubernetes Service (AKS) clusters and containerized ML workloads.
- Ensure model governance versioning and reproducibility using tools like MLflow and Azure DevOps.
- Promote DevSecOps practices ensuring security and compliance are embedded in the ML lifecycle.
- Monitor and troubleshoot production ML systems ensuring high availability and performance.
- Proficiency in Python Docker Kubernetes and CI/CD pipelines.
- Experience with LLM fine-tuning prompt engineering and model deployment.
- Familiarity with MLflow Terraform and monitoring tools like Prometheus/Grafana.
Employment Type
Full Time
