Company Overview

We're Mind AI, pioneering a unique approach in artificial intelligence, moving beyond the dominant approaches and ideas of deep learning and neural networks. With our approach of fusing Symbolic AI and Machine Learning together, we're aiming for real Natural Language Reasoning, not just natural language processing. We need versatile talents with open and creative minds to achieve this goal.

Position Overview

We are seeking a talented Machine Learning Engineer to join our AI Operation team. As a Machine Learning Engineer, you will play a key role in developing and implementing advanced machine learning algorithms and models. You will work closely with cross-functional teams to design, develop, and deploy cutting-edge solutions that solve complex business problems. This is an exciting opportunity to contribute to the development of innovative products and services using the latest technologies in machine learning.

Key Responsibilities

• Develop and implement machine learning models and algorithms to solve complex business problems
• Collaborate with cross-functional teams including Data Scientists, Software Engineers, and Product Managers to design and implement machine learning solutions
• Analyze and process large datasets to extract meaningful insights and drive decision-making
• Optimize and fine-tune machine learning models to improve accuracy and performance
• Stay up-to-date with the latest advancements in machine learning and related technologies.
• Evaluate and integrate third-party machine learning libraries and frameworks
• Design and implement scalable and efficient data pipelines for training and deploying machine learning models
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions

Qualifications and Skills

• Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree is preferred
• Strong understanding of machine learning algorithms and technique
• Experience in building and deploying machine learning models in production.
• Proficiency in programming languages such as Python, C++
• Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Solid knowledge of data structures, algorithms, and software design principles