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 creating impactful technologies. As a Machine Learning Engineer, you will be responsible for developing and deploying machine learning models and pipelines, ensuring they are production-ready and monitored effectively. Your work will involve using tools like Databricks and MLflow to manage the lifecycle of machine learning projects.
In this role, you will focus on building AI agents and generative AI solutions, as well as applications that utilize Retrieval-Augmented Generation (RAG). This position suits individuals who are excited about working with advanced AI technologies and have a strong foundation in machine learning principles.
Key responsibilities include: • Productionizing machine learning models • Monitoring model performance and pipelines • Developing AI agents and generative AI solutions • Implementing Retrieval-Augmented Generation applications
To thrive in this position, you should have a solid understanding of machine learning frameworks and experience with Databricks and MLflow. A passion for AI and a desire to innovate in the field will help you succeed at Psybergate.
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