MLops Engineer

Key Responsibilities:

• Research, develop, and deploy AI models in production environments.
• Leverage AIOps and MLOps practices for efficient model management.
• Contribute to DevOps practices for AI/ML using OpenShift, Azure ML, and CI/CD pipelines.
• Deploy and manage AI models using Databricks, MLFlow, Azure ML.
• Implement and manage at least 3-5 AI projects with a focus on AIOps and MLOps.
• Set up CI/CD pipelines using Azure DevOps, Jenkins, or similar tools.
• Monitor, maintain, and optimize deployed AI models.
• Work with Generative AI technologies including LLMs, RAG, and Prompt Engineering.
• Apply machine learning algorithms and techniques including LLMs/SLMs, CNNs, RNNs, transformers, and attention mechanisms.