Apply now

Job Description:

As a Machine Learning Engineer at TeamNote, you will be instrumental in developing and optimizing a private GPT application designed for deployment within a corporate environment. You will work closely with a talented team to build and enhance the machine learning components of the application, ensuring high performance, accuracy, and scalability.

Job Responsibilities

•     Develop and train machine learning models, particularly focusing on natural language processing (NLP) for the private GPT application.

•     Collaborate with software engineers to integrate machine learning models into the application infrastructure.

•     Optimize and fine-tune the GPT model for specific corporate use cases and requirements.

•     Conduct experiments, analyze data, and iterate on model performance to enhance overall application capabilities.

•     Implement best practices for model deployment, monitoring, and maintenance within a corporate setting.

•     Stay updated on the latest advancements in machine learning and NLP to drive innovation within the project.

Job Requirement

•     Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (Master's degree or PhD preferred).

•     Proven experience in machine learning, deep learning, and NLP, with a strong portfolio of projects demonstrating expertise in these areas.

•     Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or similar tools.

•     Solid programming skills in languages like Python, with experience in data manipulation, analysis, and visualization.

•     Strong understanding of statistical modeling and algorithms used in machine learning.

•     Excellent problem-solving abilities, analytical skills, and attention to detail.

•     Effective communication skills and the ability to collaborate with cross-functional teams.

Email address: [email protected]

(Data collected should be for recruitment purpose)