As a Machine Learning Engineer at Psybergate, you'll work on innovative AI solutions, focusing on productionizing and monitoring machine learning models. This role is ideal for those passionate about developing and deploying cutting-edge AI technologies.
Psybergate is at the forefront of AI and machine learning solutions, dedicated to developing advanced technologies that enhance business processes. As a Machine Learning Engineer, you will be responsible for taking machine learning models from development to production, ensuring they run smoothly and efficiently in a live environment.
Your day-to-day tasks will involve working with tools like Databricks and MLflow to monitor and manage machine learning pipelines. You will also focus on deploying AI agents and generative AI solutions, which are becoming increasingly important in various applications. This role suits individuals who are not only skilled in machine learning but also eager to explore the latest advancements in AI technology.
Key responsibilities include: • Productionizing machine learning models • Monitoring model performance and pipelines • Developing and deploying AI agents • Working with generative AI solutions and RAG applications
To succeed in this role, you should have a strong foundation in machine learning concepts and experience with relevant tools. If you're excited about the potential of AI and want to be part of a dynamic team pushing the boundaries of technology, this position could be a great fit for you.
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