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MLOps Engineer for Enterprise AI Solutions
1 week ago
We're seeking a highly skilled MLOps Engineer to join our team at Wimmer Solutions. In this role, you'll be responsible for deploying machine learning models into production using MLOps tools such as Mlflow or similar tools. You'll also work on implementing Large Language Models (LLMs) using vector bases and Retrieval-Augmented Generation (RAG), as well as tuning models. Additionally, you'll have experience with Cloud Computing platforms such as AWS, Google Cloud, or Azure for model deployment and scaling, and experience with APIs for integrating models into existing applications.
**Responsibilities:**
- Deploy machine learning models into production using MLOps tools such as Mlflow or similar tools.
- Implement Large Language Models (LLMs) using vector bases and Retrieval-Augmented Generation (RAG), as well as tuning models. Using GPTs, Llama, or any other LLM.
- Experience with Cloud Computing: Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure for model deployment and scaling.
- Experience with APIs: Experience in developing and using APIs for integrating models into existing applications.
**Requirements:**
- At least 3 years of experience putting Machine Learning models into production.
- Machine Learning Models: Advanced knowledge in Machine Learning models and Large Language Models (LLM), using langchain or a similar tool.
- Software Engineering Skills: The ability to write clean, efficient, and reusable code is essential in MLOps roles.
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