ML/AI Engineer

Your Responsibilities

• 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.

About the Company:

TechDigital

Company Size:

100 to 499 employees

Industry:

Other/Not Classified

Founded:

0