As a Machine Learning Engineer at Psybergate, you'll work on exciting AI and Generative AI projects. Your role will involve developing and monitoring machine learning models and pipelines, ensuring they run smoothly in production.
Psybergate is at the forefront of AI and machine learning solutions, focusing on developing cutting-edge technologies that enhance business processes. As a Machine Learning Engineer, you will be responsible for productionizing and monitoring machine learning models and pipelines. This involves using tools like Databricks and MLflow to ensure that models are efficient and reliable in a production environment.
In your day-to-day work, you will develop and deploy AI agents and generative AI solutions. You will also work on Retrieval-Augmented Generation (RAG) applications, which are becoming increasingly important in the AI landscape. Your role will require a strong understanding of machine learning principles and the ability to implement them effectively.
This position is ideal for someone who is passionate about AI and has a solid foundation in machine learning techniques. You should be comfortable working with various tools and frameworks to build and monitor models. Key responsibilities include:
If you are looking to make an impact in the AI field and enjoy working in an innovative environment, this role at Psybergate could be a great fit for you.
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