ML/AI engineer

Job Description

•             Design, develop, and implement machine learning and deep learning models.

•             Preprocess and analyze large-scale structured and unstructured datasets.

•             Optimize models for performance, scalability, and efficiency.

•             Integrate models into production systems using APIs or cloud-based deployment.

•             Monitor, test, and retrain models as required based on feedback and performance.

•             Document model development, architecture, and performance metrics.

•             Design scalable infrastructure for training, deploying, and monitoring ML and LLM models in production.

•             Manage Azure Kubernetes Service (AKS) clusters and containerized ML workloads.

•             Ensure model governance, versioning, and reproducibility using tools like MLflow and Azure DevOps.

•             Experience with Azure Machine Learning, Azure OpenAI, Azure DevOps, and AKS.

•             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.

•             Collaborate with data scientists and domain experts to understand project objectives and define modeling approaches