MLops Engineer

Key Responsibilities:

Research, develop, and deploy AI models in production environments.
Leverage AIOps and MLOps practices for efficient model management.
Contribute to Dev Ops practices for AI/ML using Open Shift, 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 Dev Ops, 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.