Sen. Machine Learning Engineer

at  CompuGroup Medical

Join our innovative team as we develop a cutting-edge AI Framework and Platform that enhances healthcare accessibility. We are revolutionizing the way healthcare providers interact with IT systems. We need a highly skilled Senior Machine Learning Engineer to design, develop, and optimize machine learning models, particularly focusing on Retrieval-Augmented Generation (RAG) and AI Agents to power our extensive healthcare application portfolio.

Key Responsibilities:

• Design, develop, and deploy machine learning models for our AI platform with a focus on RAG and AI Agents.
• Collaborate with data scientists, backend developers, and other stakeholders to integrate models into our system.
• Optimize and fine-tune models for performance, accuracy, and scalability.
• Conduct research to stay updated with the latest advancements in machine learning and apply them to improve our products.
• Ensure robust testing, validation, and monitoring of machine learning models to maintain high-quality performance.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• Significant experience in machine learning model development and deployment, including LLM (Large Language Models) and AI Agents.
• Proficiency in machine learning frameworks and libraries (e.g., Langchain, TensorFlow, PyTorch, Scikit-learn) and strong programming skills in Python.
• Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Strong problem-solving skills and ability to work in a collaborative environment.

• Design, develop, and deploy machine learning models for our AI platform with a focus on RAG and AI Agents.
• Collaborate with data scientists, backend developers, and other stakeholders to integrate models into our system.
• Optimize and fine-tune models for performance, accuracy, and scalability.
• Conduct research to stay updated with the latest advancements in machine learning and apply them to improve our products.
• Ensure robust testing, validation, and monitoring of machine learning models to maintain high-quality performance