Lowongan Kerja Jakarta PT. Wide Technologies Indonesia (AI Engineer)

We are currently seeking a talented and highly motivated AI Engineer to join our dynamic team. The ideal candidate will possess a strong passion for leveraging cutting-edge technologies and will bring prior experience in training image-based machine-learning models.

Key Responsibilities

• Collaborate with our cross-functional team to integrate machine-learning models into our existing infrastructure, ensuring seamless deployment and scalability.
• Conduct rigorous testing and validation of machine-learning models, ensuring their robustness and reliability in real-world scenarios.
• Conduct thorough research, staying up-to-date with the latest advancements in machine learning and AI, and integrating them into our platform where appropriate.
• Design, develop, and implement state-of-the-art machine-learning algorithms and models to enhance our platform’s capabilities and enable customers to create realistic content more efficiently.
• Document research findings, methodologies, and implementations in clear and concise reports and presentations.
• Maintain AI server to be always ready and functional.
• Optimize and fine-tune machine-learning models for performance, accuracy, and scalability.
• Utilize AI techniques to enable content generation through various modalities, including text, images, videos, and chatbot.

Requirements

• Able to transform business requirements and ideas to AI solution to be used by user.
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• Experienced on machine learning modelling using Tensorflow, Pytorch, or any machine learning framework.
• Proficient in programming languages commonly used in machine learning, such as Python.
• Ready to work in an Agile environment if must.
• Solid understanding of machine-learning principles, algorithms, and techniques, with hands-on experience in developing and implementing machine-learning models.
• Understand basic deployment on Linux.
• Understand basic MLOps deployment using such as FLASK, FastAPI, or Django.