As an AI Engineer, you will collaborate closely with AI Researchers, Data Scientists, and
Software Engineers to research and develop AI models tailored to real-world business problems in fields such as banking, insurance, and more. Your responsibilities will include:
• Model Development: Designing, developing, and fine-tuning models using state-of-the-art AI algorithms and techniques, encompassing computer vision and natural language processing. Leverage frameworks such as TensorFlow, PyTorch, or similar to implement these models effectively.
• Research and Experimentation: Experimenting with state-of-the-art AI model architectures and approaches to enhance the performance and accuracy of existing products. Stay at the forefront of cutting-edge developments in AI and apply them to real-world projects.
• Data Preprocessing: Working on data preprocessing, feature engineering, and data augmentation to optimize and improve model training processes.
• Integration: Developing API interfaces for model interaction, closely collaborating with software engineering teams to integrate and deploy generalized AI models into real-world applications and systems. This will enhance customer interaction, automate processes, and improve decision-making capabilities.
• Mentorship: Providing technical guidance and mentorship to junior members of the AI team.
• Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Ph.D. preferred.
• Proven experience in developing and fine-tuning machine learning models for computer vision and natural language processing.
• Proficiency in frameworks such as TensorFlow, PyTorch, or similar.
• Strong programming skills in Python.
• A track record of contributing to AI research projects and publications is a plus.
• Excellent problem-solving and communication skills.
• Ability to work collaboratively in a fast-paced, innovative environment.